Relevant bibliographies by topics / Vulnerability Management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Vulnerability Management'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Vulnerability Management"

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Ozyurt, Gulizar, Aysen Ergin, and Cuneyt Baykal. "COASTAL VULNERABILITY ASSESSMENT TO SEA LEVEL RISE INTEGRATED WITH ANALYTICAL HIERARCHY PROCESS." Coastal Engineering Proceedings 1, no. 32 (January 29, 2011): 6. http://dx.doi.org/10.9753/icce.v32.management.6.

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This paper discusses a parameter based coastal vulnerability assessment model to sea level rise. The model integrates physical characteristics and human activities with expert perception through an application of analytical hierarchy process (AHP). The results of AHP enables to assign weights to parameters of the model which determine vulnerability of a coastal area to the impacts of sea level rise such as coastal erosion, inundation, flooding due to storm surges, saltwater intrusion to groundwater and rivers. The results of AHP also indicates that sea level rise is not considered as one of the main driving forces of the impacts that might be already present contrary to the reports that state that sea level rise will trigger many problems along coastal areas. The application of the coastal vulnerability assessment model to two different coastal areas of Turkey showed that there is a need for overall evaluation of coastal areas in terms of vulnerability to sea level rise considering all the impacts. It is seen that assessing overall vulnerability is an important tool for national assessments. On the other hand, impact vulnerabilities are important when regional to local planning are considered since a region having a low overall vulnerability might show higher vulnerability for individual impacts. The proposed vulnerability methodology integrated with expert perception enables a simple yet effective representation of the coastal system while enabling decision makers to come up with proactive adaptation measures.
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Sancho, Francisco, Filipa S. B. F. Oliveira, and Paula Freire. "COASTAL DUNES VULNERABILITY INDEXES: A NEW PROPOSAL." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 68. http://dx.doi.org/10.9753/icce.v33.management.68.

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In the present work it is proposed a new coastal dune vulnerability index based on its exposure (and resistance) to overwashing and erosion under storm events, focusing solely on the short-term events. The methodology is applied and validated against the available data for the Ria Formosa (Algarve, Portugal) coastal beaches. The overwash index is determined as a function of the dune crest height in relation with the maxima water levels for different return periods, and the storm-erosion index is computed as function of the remaining beach/dune volume after the impact of the 10-year return period extreme-wave conditions in relation to the pre-storm volume. It is discussed the results of this application, enhancing the necessity of further validation.
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Posada-Vanegas, Gregorio, Gerardo Durán-Valdez, Rodolfo Silva-Casarin, Maria Elena Maya-Magaña, and Jose Antonio Salinas-Prieto. "VULNERABILITY TO COASTAL FLOODING INDUCED BY TROPICAL CYCLONES." Coastal Engineering Proceedings 1, no. 32 (January 31, 2011): 19. http://dx.doi.org/10.9753/icce.v32.management.19.

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Hurricanes are a recurrent feature on Mexican coasts; they create floods whose economic and social damages are evident. The necessity to evaluate the natural hazard related to storm surge is fundamental to reduce risk in coastal areas. In order to generate flooding hazard maps, storm surge associated to different return periods is computed with a 2D numerical model. The first part of this work is related with the data and numerical models used to calculate the storm surge, the second part contain the results obtained with the simulations. This work has been done for the entire Mexican coastline but only results for the Gulf of Mexico are presented
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Narayan, Siddharth, Robert J. Nicholls, Ekaterina Trifonova, Mariana Filipova – Marinova, Iliyan Kotsev, Stoyan Vergiev, Susan Hanson, and Derek Clarke. "COASTAL HABITATS WITHIN FLOOD RISK ASSESSMENTS: ROLE OF THE 2D SPR APPROACH." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 12. http://dx.doi.org/10.9753/icce.v33.management.12.

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Coastal habitats are highly threatened ecosystems that are sensitive to complex sets of natural and human drivers. Europe’s coastal habitats are protected from damage due to human activity by the EU Habitats Directive, and are required to be mapped within flood risk assessments by the EU Floods Directive. Ecological vulnerability and risk assessments are a common way of assessing the impacts on these habitats due to human and natural drivers. Coastal flood risk assessments therefore often include assessments of the vulnerability of coastal habitats. Flood risk assessments also evaluate, where relevant, the mitigation services provided by coastal habitats. The two aspects of coastal habitats – their flood mitigation service and their ecological vulnerability are strongly correlated; however these are usually treated separately within flood risk assessments. One of the goals of the EU THESEUS project is the integrated consideration of coastal habitats within flood risk assessments. This paper investigates the integration within flood risk assessments of the two aspects of coastal habitats using the 2D SPR conceptual model. The construction of the model is first illustrated by application to a generic study site. The model is then applied to a case-study where data on habitat elevations and vulnerabilities to flood events have been collected. The model provides a unique and robust means of combining information on ecological vulnerability indices for different habitat associations with information on their distribution and spatial relationships within the coastal floodplain. Used in conjunction with information on habitat vulnerability indices, the conceptual model serves as a powerful tool for integrated and structured consideration of coastal habitats within flood risk assessments
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Aleksic, Aleksandar, Hrvoje Puskaric, Danijela Tadic, and Miladin Stefanovic. "Project management issues: vulnerability management assessment." Kybernetes 46, no. 7 (August 7, 2017): 1171–88. http://dx.doi.org/10.1108/k-08-2016-0218.

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Purpose The purpose of this paper is to investigate the vulnerability of projects implemented in enterprises. The paper focuses on the issue of vulnerability assessment in the planning stages of a project, before its realization. Design/methodology/approach In this paper, the realization of the project has been analyzed through the phases of delivery, and the fuzzy approach has been deployed for mathematical modeling of uncertainties. An appropriate expert and management team has assessed the variables of the project’s vulnerability by using linguistic expressions, as this way of assessment is close to the human way of thinking. The model of project’s vulnerability assessment has been verified on real life data by means of an illustrative example. Findings A very significant part of business operations in enterprises all over the world is realized through the practice of project management. In daily business practice, project activities may be exposed to different risk sources. These risks may be studied from different perspectives, but without reevaluation, risk sources increase the vulnerability of projects as well as of the whole enterprise. Originality/value The results of the analysis of the obtained data gives good direction to future research in the scope of vulnerability management in the enterprises oriented to long-term sustainability.
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Okuda, Takeshi, and Suguru Yamaguchi. "Lightweight Vulnerability Management System." Journal of Information Processing 16 (2008): 157–64. http://dx.doi.org/10.2197/ipsjjip.16.157.

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Hardin, Eric, Helena Mitasova, and Margery Overton. "GIS-BASED ANALYSIS OF STORM VULNERABILITY CHANGE AT PEA ISLAND, NC." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 75. http://dx.doi.org/10.9753/icce.v33.management.75.

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In August 2011, Hurricane Irene opened multiple small breaches along the Outer Banks of North Carolina, USA. To predict storm damage to barrier islands, the United States Geological Survey (USGS) has developed the storm impact scale for barrier islands, which assesses vulnerability based on the configuration of the pre-storm terrain relative to storm characteristics. We present the vulnerability of Pea Island to Hurricane Isabel (2003) and Irene (2011) using an efficient GIS-based implementation of the storm impact scale. This implementation employs a least cost path approach to automated topographic feature extraction and a remote sensing approach to wrack line extraction for storm parameter estimation. The assessed vulnerability along with high-resolution topographic visualizations based on a decadal time-series of Light Detection and Ranging (LiDAR) data suggest that the location of the breach formation was a function of the pre-storm terrain. With the presented methodology, the geospatial information required to identify vulnerable areas can efficiently be extracted so that management strategies can be implemented before storm damage occurs.
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Walkowski, Michał, Jacek Oko, and Sławomir Sujecki. "Vulnerability Management Models Using a Common Vulnerability Scoring System." Applied Sciences 11, no. 18 (September 19, 2021): 8735. http://dx.doi.org/10.3390/app11188735.

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Vulnerability prioritization is an essential element of the vulnerability management process in data communication networks. Accurate prioritization allows the attention to be focused on the most critical vulnerabilities and their timely elimination; otherwise, organizations may face severe financial consequences or damage to their reputations. In addition, the large amounts of data generated by various components of security systems further impede the process of prioritizing the detected vulnerabilities. Therefore, the detection and elimination of critical vulnerabilities are challenging tasks. The solutions proposed for this problem in the scientific literature so far—e.g., PatchRank, SecureRank, Vulcon, CMS, VDNF, or VEST—are not sufficient because they do not consider the context of the organization. On the other hand, commercial solutions, such as Nessus, F-Secure, or Qualys, do not provide detailed information regarding the prioritization procedure, except for the scale. Therefore, in this paper, the authors present an open-source solution called the Vulnerability Management Center (VMC) in order to assist organizations with the vulnerability prioritization process. The VMC presents all calculated results in a standardized way by using a Common Vulnerability Scoring System (CVSS), which allows security analysts to fully understand environmental components’ influences on the criticality of detected vulnerabilities. In order to demonstrate the benefits of using the the open-source VMC software developed here, selected models of a vulnerability management process using CVSS are studied and compared by using three different, real testing environments. The open-source VMC suite developed here, which integrates information collected from an asset database, is shown to accelerate the process of removal for the critical vulnerabilities that are detected. The results show the practicability and efficacy of the selected models and the open-source VMC software, which can thus reduce organizations’ exposure to potential threats.
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Podsevalov, Artem G., and Mikhail I. Kudinov. "Issues of using vulnerability prioritization algorithms when organizing the vulnerability management process." Digital technology security, no. 1 (March 26, 2024): 52–73. http://dx.doi.org/10.17212/2782-2230-2024-1-52-73.

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The purpose of this scientific research is to analyze the possibilities of increasing the level of protection of an organization's defense against cyber threats by applying vulnerability prioritization algorithms. There are various approaches to creating vulnerability prioritization algorithms that take into account many metrics. For example, the potential impact on the information system when exploiting the vulnerability, the complexity of exploiting the vulnerability, the difficulty of eliminating it, etc. This article is devoted to the issues of organizing the process of managing vulnerabilities, in particular, various methods (algorithms) of their prioritization to determine the priority of elimination and the rational distribution of human resources of the organization. Various algorithms for prioritizing vulnerabilities were reviewed and analyzed, and conclusions were drawn about their advantages and disadvantages. In conclusion, the work proposes a version of the vulnerability prioritization algorithm that takes into account the most important metrics, as well as the recommendations of the FSTEC of Russia.
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Haerens, Piet, Paolo Ciavola, Óscar Ferreira, Ap Van Dongeren, Mark Van Koningsveld, and Annelies Bolle. "ONLINE OPERATIONAL EARLY WARNING SYSTEM PROTOTYPES TO FORECAST COASTAL STORM IMPACTS (CEWS)." Coastal Engineering Proceedings 1, no. 33 (October 25, 2012): 45. http://dx.doi.org/10.9753/icce.v33.management.45.

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Extreme coastal storms have a destructive impact on coastal areas and directly affect people living in the coastal zone, being this emphasized by recent events (e.g. Katrina, Xynthia) which reminded the world of the vulnerability of coastal areas. The economic constraints and the increasing vulnerability of coastal areas (due to sea level rise and to increased occupation) make it impossible to continue with a coastal zone management strategy based solely on engineering schemes to protect vulnerable coastal areas across Europe. Development tools and methods that improve today’s forecasting, prediction and early warning capabilities in order to improve the assessment of coastal vulnerability and risks are strongly needed and should be part of future prevention, mitigation and preparedness measures. Within the MICORE project online operational storm early warning systems (CEWSs) using open-source models and tools for reliable predictions of the morphological impact of marine storm events were developed and demonstrated. The system makes use of existing off-the-shelf models as well as a state of the art open-source morphological model (XBeach). The project specifically targeted the development of early warning and information systems to support a short term emergency response in case of an extreme storm event (CEWS). The current paper describes the applied system architecture, the model set-up and the storm impact indicator (SII) oriented approach. It also highlights the need for further developments and application.
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Dissertations / Theses on the topic "Vulnerability Management"

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White, Dominic Stjohn Dolin. "Limiting vulnerability exposure through effective patch management: threat mitigation through vulnerability remediation." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1006510.

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This document aims to provide a complete discussion on vulnerability and patch management. The first chapters look at the trends relating to vulnerabilities, exploits, attacks and patches. These trends describe the drivers of patch and vulnerability management and situate the discussion in the current security climate. The following chapters then aim to present both policy and technical solutions to the problem. The policies described lay out a comprehensive set of steps that can be followed by any organisation to implement their own patch management policy, including practical advice on integration with other policies, managing risk, identifying vulnerability, strategies for reducing downtime and generating metrics to measure progress. Having covered the steps that can be taken by users, a strategy describing how best a vendor should implement a related patch release policy is provided. An argument is made that current monthly patch release schedules are inadequate to allow users to most effectively and timeously mitigate vulnerabilities. The final chapters discuss the technical aspect of automating parts of the policies described. In particular the concept of 'defense in depth' is used to discuss additional strategies for 'buying time' during the patch process. The document then goes on to conclude that in the face of increasing malicious activity and more complex patching, solid frameworks such as those provided in this document are required to ensure an organisation can fully manage the patching process. However, more research is required to fully understand vulnerabilities and exploits. In particular more attention must be paid to threats, as little work as been done to fully understand threat-agent capabilities and activities from a day to day basis.
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Persson, Andreas, and Lukas Landenstad. "Explaining change : Comparing network snapshots for vulnerability management." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16710.

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Background. Vulnerability management makes it easier for companies to find, manage and patch vulnerabilities in a network. This is done by scanning the network for known vulnerabilities. The amount of information collected during the scans can be large and prolong the analysis process of the findings. When presenting the result of found vulnerabilities it is usually represented as a trend of number of found vulnerabilities over time. The trends do not explain the cause of change in found vulnerabilities.  Objectives. The objective of this thesis is to investigate how to explain the cause of change in found vulnerabilities, by comparing vulnerability scanning reports from different points in time. Another objective of this thesis is to create an automated system that connects changes in vulnerabilities to specific events in the network. Methods. A case study was conducted where three reports, from vulnerability scans of Outpost24's internal test network, were examined in order to understand the structure of the reports and mapping them to events. To complement the case study, an additional simulated test network was set up in order to conduct self defined tests and obtain higher accuracy when identifying the cause of change in found vulnerabilities. Results. The observations done in the case study provided us with information on how to parse the data and how to identify the cause of change with a rule-based system. Interpretation of the data was done and the changes were grouped into three categories; added, removed or modified. After conducting the test cases, the results were then interpreted to find signatures in order to identify the cause of change in vulnerabilities. These signatures were then made into rules, implemented into a proof-of-concept tool. The proof of concept tool compared scan reports in pairs in order to find differences. These differences were then matched with the rules and if it did not match any rule, the change in the report was flagged as an ''unexplained'' change. The proof-of-concept tool was then used to investigate the cause of change between the reports from the case study. The framework was validated by evaluating the rules gathered from the simulated test network on the data from the case study. Furthermore, a domain expert verified that the identified causes were accurate by manually comparing the vulnerability reports from the case study. Conclusions. It is possible to identify the cause of change in found vulnerabilities from vulnerability scan reports by constructing signatures for events and use these signatures as rules. This can also be implemented automatically, as a software, in order to identify the cause of change faster than manual labor.
Bakgrund. Sårbarhetshantering underlättar arbetet för företag att hitta, hantera och korrigera sårbarheter i ett nätverk. Det görs genom att skanna nätverket efter kända sårbarheter. Mängden information som samlas under skanningar kan vara stor och medföra till att analysprocessen av upptäckterna försenas. Resultaten av de upptäckta sårbarheterna brukar vanligtvis presenteras som en trend av antalet funna sårbarheter över ett tidsintervall. Trenderna förklarar dock inte andledningen till de funna sårbarheterna. Syfte. Målet med denna avhandling är att undersöka hur det är möjligt att identifiera anledningen till skillnaden i funna sårbarheter genom att jämföra sårbarhetsrapporter från olika tidpunkter. Ett andra mål är att utveckla ett automatiskt system som kopplar skillnaderna i funna sårbarheter till specifika händelser i nätverket. Metod. En fallstudie utfördes där tre sårbarhetsrapporter, från Outpost24s interna testnätverk, undersöktes för att få förståelse kring strukturen av rapporterna samt för att koppla upptäckter i rapporterna till händelser. För att komplementera fallstudien satte vi upp ett nytt, simulerat testnätverk för att kunna utföra egna tester samt för att uppnå en högre precision vid identifiering av förändringar. Resultat. Utifrån fallstudien fick vi förståelse för hur vi skulle tolka informationen från rapporterna samt för hur man kan ge orsak till förändring genom ett regelbaserad system. Informationen från rapporterna tolkades och förändringarna delades in i tre olika kategorier; tillagda, borttagna eller modifierade. Utifrån testerna från det simulerade nätverket byggdes signaturer som identifierar orsak till föränding av funna sårbarheter. Signaturerna användes sedan för att göra regler, vilka implementerades i ett konceptverktyg. Konceptverktyget jämförde sårbarhetsrapporter i par för att upptäcka skillnader. De identifierade skillnaderna försökte sedan matchas ihop med reglerna och skulle skillnaden inte matcha någon regel så flaggas skillnaden som ''oförklarad''. Konceptverktyget användes slutligen för att finna orsak till förändringar i rapporterna från fallstudien. Ramverket validerates genom att utvärdera hur reglerna byggda utifrån det simulerade nätverket presterade för fallstudien. En domänexpert verifierade att händelserna som presenterades och orsaken till förändringarna var korrekta genom att analysera sårbarhetsrapporterna från fallstudien manuellt. Slutsatser. Det är möjligt att identifiera orsak till förändringar i upptäckta sårbarheter i sårbarhetsrapporter genom att identifiera signaturer för händelser, och använda dessa signaturer i ett reglerbaserat system. Systemet är också möjligt att implementera automatiskt, i form av mjukvara, för att kunna identifiera orsaken till förändring snabbare än om det skulle gjorts manuellt.
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Yue, Yanchao. "Impact of Seismic Vulnerability on Bridge Management Systems." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/368074.

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Motivated by the potential vulnerability of their road infrastructure, many national authorities and local Departments of Transportation are incorporating seismic risk assessment in their management systems. This Dissertation aims to develop methods and tools for seismic risk analysis that can be used in a Bridge Management System (BMS); helping bridge owners to assess the costs of repair, retrofit and replacement of the bridges under their responsibility. More specifically, these tools are designed to offer estimates of: (1) the seismic risk to single components of bridges and their expected performance after an earthquake. (2) the impact a priori (i.e. before an earthquake) of a given earthquake on the operation of a road network, in terms of connectivity between different locations. (3) the damage a posteriori (i.e. after an earthquake) to road network operation, based on prior knowledge of network vulnerability and on the observed damage to a small number of single bridges. The effectiveness of these methods is tested and validated in a specific case study, the bridge stock of the Autonomous Province of Trento (APT) in Italy. To address the first point, I will first introduce the fragility curve method for risk assessment of individual bridges. The Hazus model is chosen as the most appropriate and is applied to the bridges of the APT stock. Once the fragility curves for all the bridges have been generated, a risk analysis is performed for three earthquake scenarios (with return periods of 72, 475 and 2475 years) and four condition states (operational, damage, life safety and collapse limit state). Next, I will extend the results of the component level analysis to the network level: the APT road network is modeled in the form of a graph and the problem of connectivity between two locations is analyzed. A shortest path algorithm is introduced and implemented to identify the best path between any two given places. Correlation in capacity and demand among bridges is not considered at this stage. After reiterating the fundamentals of probability theory, the theory of Bayesian Networks is introduced. The Bayesian Network approach is used to incorporate mutual correlation in capacity and demand, in risk assessment of a bridge stock. The concept is first formulated and illustrated on a simple case (the ‘twin bridge problem’), then extended to the general case of a full stock. I will show how the same framework can be used in post-earthquake assessment problems, where the evidence of the state of one or more bridges affects the prediction of the performance of another bridge. The outcomes and the limits of this work are discussed at the end of the Thesis.
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Yue, Yanchao. "Impact of Seismic Vulnerability on Bridge Management Systems." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/792/1/YUEthesis_final20120530.pdf.

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Motivated by the potential vulnerability of their road infrastructure, many national authorities and local Departments of Transportation are incorporating seismic risk assessment in their management systems. This Dissertation aims to develop methods and tools for seismic risk analysis that can be used in a Bridge Management System (BMS); helping bridge owners to assess the costs of repair, retrofit and replacement of the bridges under their responsibility. More specifically, these tools are designed to offer estimates of: (1) the seismic risk to single components of bridges and their expected performance after an earthquake. (2) the impact a priori (i.e. before an earthquake) of a given earthquake on the operation of a road network, in terms of connectivity between different locations. (3) the damage a posteriori (i.e. after an earthquake) to road network operation, based on prior knowledge of network vulnerability and on the observed damage to a small number of single bridges. The effectiveness of these methods is tested and validated in a specific case study, the bridge stock of the Autonomous Province of Trento (APT) in Italy. To address the first point, I will first introduce the fragility curve method for risk assessment of individual bridges. The Hazus model is chosen as the most appropriate and is applied to the bridges of the APT stock. Once the fragility curves for all the bridges have been generated, a risk analysis is performed for three earthquake scenarios (with return periods of 72, 475 and 2475 years) and four condition states (operational, damage, life safety and collapse limit state). Next, I will extend the results of the component level analysis to the network level: the APT road network is modeled in the form of a graph and the problem of connectivity between two locations is analyzed. A shortest path algorithm is introduced and implemented to identify the best path between any two given places. Correlation in capacity and demand among bridges is not considered at this stage. After reiterating the fundamentals of probability theory, the theory of Bayesian Networks is introduced. The Bayesian Network approach is used to incorporate mutual correlation in capacity and demand, in risk assessment of a bridge stock. The concept is first formulated and illustrated on a simple case (the ‘twin bridge problem’), then extended to the general case of a full stock. I will show how the same framework can be used in post-earthquake assessment problems, where the evidence of the state of one or more bridges affects the prediction of the performance of another bridge. The outcomes and the limits of this work are discussed at the end of the Thesis.
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Flores, Ballesteros Luis. "Vulnerability and social risk management in India and Mexico." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45372.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2008.
Includes bibliographical references (p. 105-116).
The development of effective community, regional and national risk-management strategies, especially for systemic risks, such as natural disasters, entails understanding the determinants of social vulnerability in individuals and groups, and the factors that foster the adoption of specific mechanisms of risk management and, thus, the elements that supports an efficient implementation process. This thesis contributes to this understanding in the context of communities in developing countries by using data from surveys conducted in the district of Kalahandi, state of Orissa, India, and three municipalities in Mexico, each with a different level of socioeconomic development: Villaflores, Chiapas; Ahome, Sinaloa; and Valle de Santiago, Guanajuato. Using regression modeling of binary response variables, I tested the statistical association between the adoption of formal social risk-management and a number of endogenous and exogenous household characteristics. The results indicate that the likelihood of adoption of formal risk-management strategies increases with the level of the household's association, i.e., its affiliation with local groups; in addition, proximity to roads, financial services and urban-mixed use areas (markets), is less strongly correlated with the likelihood of adoption of risk-management strategies than the level of association, particularly in less-developed environments. These findings are robust to a variety of socioeconomic and demographic characteristics and environmental contexts. Keywords: risk, social risk management, social capital, vulnerability
by Luis Flores Ballesteros.
M.C.P.
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Washam, Ryan M. "Archaeology in Distress: Federal Land Management and Archaeological Vulnerability." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406820452.

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Lartey, Jerry. "Effective Vulnerability Management for Small Scale Organisations in Ghana." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-75809.

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Most Small and Medium scale Enterprises (SMEs) in Ghana are notparticularly anxious about the consequences of inadequacy or lack of anyform of vulnerability management operation in their normal businesspractices. This case study research explores how a local Internet ServiceProvider (ISP) in Ghana and its local client-base can manage vulnerabilitieswith a targeted patch management practise integrated into their operations.To answer the research question “How can a SME local Internet ServiceProvider (ISP) in Accra, Ghana, assist their local customer base to integrateeffective cybersecurity vulnerability management into their operations?“,This case study comprised the Subject Matter Expert of one local ISP as well as4 other technical Subject Matter Experts of the ISP’s clients about their patchmanagement operations. This case study research revealed that most SMEs donot consider vulnerability management as a key concern in the operation oftheir organisation and therefore, proposes a way to highlight the importanceof vulnerability management whiles doing so at a cost-effective manner. Theimplications of targeted cybersecurity patch management for the local ISP andtheir client-base is also addressed by this thesis research.
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Afful-Dadzi, Anthony. "Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354126687.

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Makoka, Donald. "Risk, risk management and vulnerability to poverty in rural Malawi /." Göttingen : Cuvillier, 2008. http://d-nb.info/99080948X/04.

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Barrère, Cambrún Martín. "Vulnerability management for safe configurations in autonomic networks and systems." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0048/document.

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Le déploiement d'équipements informatiques à large échelle, sur les multiples infrastructures interconnectées de l'Internet, a eu un impact considérable sur la complexité de la tâche de gestion. L'informatique autonome permet de faire face à cet enjeu en spécifiant des objectifs de haut niveau et en déléguant les activités de gestion aux réseaux et systèmes eux-mêmes. Cependant, lorsque des changements sont opérés par les administrateurs ou par les équipements autonomes, des configurations vulnérables peuvent être involontairement introduites. Ces vulnérabilités offrent un point d'entrée pour des attaques de sécurité. À cet égard, les mécanismes de gestion des vulnérabilités sont essentiels pour assurer une configuration sûre de ces environnements. Cette thèse porte sur la conception et le développement de nouvelles méthodes et techniques pour la gestion des vulnérabilités dans les réseaux et systèmes autonomes, afin de leur permettre de détecter et de corriger leurs propres expositions aux failles de sécurité. Nous présenterons tout d'abord un état de l'art sur l'informatique autonome et la gestion de vulnérabilités. Nous décrirons ensuite notre approche d'intégration du processus de gestion des vulnérabilités dans ces environnements, et en détaillerons les différentes facettes, notamment : extension de l'approche dans le cas de vulnérabilités distribuées, prise en compte du facteur temps en considérant une historisation des paramètres de configuration, et application en environnements contraints en utilisant des techniques probabilistes. Nous présenterons également les prototypes et les résultats expérimentaux qui ont permis d'évaluer ces différentes contributions
Over the last years, the massive deployment of computing devices over disparate interconnected infrastructures has dramatically increased the complexity of network management. Autonomic computing has emerged as a novel paradigm to cope with this challenging reality. By specifying high-level objectives, autonomic computing aims at delegating management activities to the networks themselves. However, when changes are performed by administrators and self-governed entities, vulnerable configurations may be unknowingly introduced. Nowadays, vulnerabilities constitute the main entry point for security attacks. Therefore, vulnerability management mechanisms are vital to ensure safe configurations, and with them, the survivability of any autonomic environment. This thesis targets the design and development of novel autonomous mechanisms for dealing with vulnerabilities, in order to increase the security of autonomic networks and systems. We first present a comprehensive state of the art in autonomic computing and vulnerability management. Afterwards, we present our contributions which include autonomic assessment strategies for device-based vulnerabilities and extensions in several dimensions, namely, distributed vulnerabilities (spatial), past hidden vulnerable states (temporal), and mobile security assessment (technological). In addition, we present vulnerability remediation approaches able to autonomously bring networks and systems into secure states. The scientific approaches presented in this thesis have been largely validated by an extensive set of experiments which are also discussed in this manuscript
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Books on the topic "Vulnerability Management"

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Foreman, Park. Vulnerability management. Boca Raton: Auerbach Publications, 2009.

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Foreman, Park. Vulnerability management. Boca Raton: Auerbach Pub., 2010.

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Vulnerability management for dummies. Chichester: John Wiley, 2008.

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Alcira, Kreimer, and Munasinghe Mohan 1945-, eds. Environmental management and urban vulnerability. Washington, D.C: World Bank, 1992.

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International Workshop on Deltas: Coastal Vulnerability and Management (2009 Anna University). Deltas: Coastal vulnerability and management. Edited by Ramesh R. (Ramachandran) and Anna University. Institute for Ocean Management. Chennai: Environmental Information System (ENVIS), 2009.

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Vulnerability, risk and resistence. Abingdon, Oxon, UK: Routledge, 2018.

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McFadden, Loraine. Coastal hazards and vulnerability. London: Earthscan, 2010.

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Hardy, Brian. Innovations in community care management: Minimising vulnerability. Aldershot: Avebury, 1992.

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Brian, Hardy. Innovations in community care management: Minimising vulnerability. Aldershot, England: Ashgate Publishing Co., 1992.

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Furniss, Michael J., and Christopher P. Carlson. Assessing the vulnerability of watersheds to climate change: Results of national forest watershed vulnerability pilot assessments. Portland, OR: Pacific Northwest Research Station, 2013.

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Book chapters on the topic "Vulnerability Management"

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Thompson, Eric C. "Vulnerability Management." In Designing a HIPAA-Compliant Security Operations Center, 65–93. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5608-4_4.

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Pompon, Raymond. "Vulnerability Management." In IT Security Risk Control Management, 165–74. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2140-2_14.

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Williams, Branden R., and James K. Adamson. "Vulnerability Management." In PCI Compliance, 137–62. 5th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003100300-9.

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Saile, K. N. D., and Phani Kumar Gajula. "Vulnerability Management." In Information Security and Optimization, 13–24. First edition. | Boca Raton : C&H\CRC Press, 2021.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003045854-2.

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Williams, Walter. "Vulnerability Management." In Creating an Information Security Program from Scratch, 99–106. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003093688-4.

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Madigan, Michael L. "Vulnerability." In Handbook of Emergency Management Concepts, 139–56. Boca Raton, FL : CRC Press, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/b22489-9.

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Haber, Morey J., and Brad Hibbert. "Vulnerability Management Design." In Asset Attack Vectors, 119–23. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3627-7_13.

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Haber, Morey J., and Brad Hibbert. "Vulnerability Management Development." In Asset Attack Vectors, 125–63. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3627-7_14.

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Haber, Morey J., and Brad Hibbert. "Vulnerability Management Deployment." In Asset Attack Vectors, 165–206. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3627-7_15.

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Haber, Morey J., and Brad Hibbert. "Vulnerability Management Operations." In Asset Attack Vectors, 207–12. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3627-7_16.

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Conference papers on the topic "Vulnerability Management"

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Farris, Katheryn A., John Sullivan, and George Cybenko. "Vulnerability survival analysis: a novel approach to vulnerability management." In SPIE Defense + Security, edited by Edward M. Carapezza. SPIE, 2017. http://dx.doi.org/10.1117/12.2266378.

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Bhargav, A., and B. Vandana. "Exploring Tools For Vulnerability Management." In 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2022. http://dx.doi.org/10.1109/asiancon55314.2022.9909072.

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Altaf, Insha, Firdous ul Rashid, Jawad Ahmad Dar, and Mohd Rafiq. "Vulnerability assessment and patching management." In 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI). IEEE, 2015. http://dx.doi.org/10.1109/icscti.2015.7489631.

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Guinet, Alain, and Roberto Faccincani. "Hospital's vulnerability assessment." In 2015 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2015. http://dx.doi.org/10.1109/iesm.2015.7380166.

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Kozlovszky, M., L. Kovacs, M. Torocsik, G. Windisch, S. Acs, D. Prem, Gy Eigner, P. I. Sas, T. Schubert, and V. Poserne. "Cloud security monitoring and vulnerability management." In 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES). IEEE, 2013. http://dx.doi.org/10.1109/ines.2013.6632823.

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Tian, H. T., L. S. Huang, Z. Zhou, and Y. L. Luo. "Arm up administrators: automated vulnerability management." In 7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/ispan.2004.1300542.

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Yu, Yijun, Ligen Xu, Xin Wang, and Liansheng Wang. "Management of Single Point Vulnerability Components." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29738.

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This paper indicates the importance of classified management of components in view of different functions of plant components, presents the principles based on which Third Qinshan Nuclear Power Plant (TQNPP) implements the classified management of components, and introduces the concept of SPV component in nuclear power stations. It focus on expounding the analysis and identification of SPV systems and components, explaining the methods to determine the list of SPV key systems and to evaluate the system priority sequence; getting the SPV fault tree of the system and SPV points; classification for the SPV points, finding the SPV component chain. The management requirements and practice for SPV components are discussed from different viewpoints of component management.
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Shivani, T. J., Hegde Ramakrishna, and Nagraj Nagashree. "Vulnerability Management using Machine Learning Techniques." In 2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2021. http://dx.doi.org/10.1109/icmnwc52512.2021.9688490.

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Qian, Ying, Wanqing You, and Kai Qian. "FlowVisor vulnerability analysis." In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, 2017. http://dx.doi.org/10.23919/inm.2017.7987387.

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Mendoza, E. Tonatiuh, Elena Ojeda, Klaus J. Meyer-Arendt, Paulo Salles, and Christian M. Appendini. "Assessing Coastal Vulnerability in Yucatan (Mexico)." In 8th International Coastal Management Conference. ICE Publishing, 2016. http://dx.doi.org/10.1680/cm.61149.607.

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Reports on the topic "Vulnerability Management"

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Mell, P. M., T. Bergeron, and D. Henning. Creating a patch and vulnerability management program. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.sp.800-40ver2.

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Gundy, Roy, Tom House, Wayne Cockerell, and Scott Meade. Vulnerability management in manufacturing OT networks—are we playing whack-a-mole? BioPhorum, October 2023. http://dx.doi.org/10.46220/2023it007.

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Lahr, Joost, Judith Klostermann, and Rob Smidt. Vulnerability of coastal species in Svalbard to selected stressors : sustainable Arctic Resource Management. Wageningen: Wageningen Environmental Research, 2019. http://dx.doi.org/10.18174/497750.

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Kahal, E. J., S. L. Murphy, and S. R. Salaymeh. Savannah River Site management response plan for chemical safety vulnerability field assessment. Revision 1. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/150902.

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Ulloa, Fernando. Learning in Twenty-First Century Schools: Note 8: Disaster Risk Management in School Systems. Inter-American Development Bank, December 2014. http://dx.doi.org/10.18235/0006296.

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This note provides a brief explanation of the basic concepts related to disaster risk management. The primary threats and conditions of vulnerability to disasters will be detailed, with a focus on six selected countries: Chile, Colombia, the Dominican Republic, Guatemala, Honduras, and Mexico.
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McDowell Peek, Katie, Blair Tormey, Holli Thompson, Allan Ellsworth, and Cat Hawkins Hoffman. Climate change vulnerability assessments in the National Park Service: An integrated review for infrastructure, natural resources, and cultural resources. National Park Service, June 2022. http://dx.doi.org/10.36967/nrr-2293650.

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Climate changes are affecting virtually all National Park Service units and resources, and an assessment of climate vulnerabilities is important for developing proactive management plans to respond appropriately to these changes and threats. Vulnerability assessments typically evaluate exposure and sensitivity of the assessment targets and evaluate adaptive capacity for living resources. Chapters in this report review and evaluate climate vulnerability assessments of National Park Service units and resources including infrastructure, natural resources, and cultural resources. Striking results were the diversity of approaches to conducting vulnerability assessments, the small number of vulnerability assessments for National Park Service cultural resources, and the large differences in the “state of the science” of conducting assessments among the three resource groups. Vulnerability assessment methodologies are well established for evaluating infrastructure and natural resources, albeit with very different techniques, but far less is known or available for designing and/or conducting cultural resources assessments. Challenges consistently identified in the vulnerability assessments, or the chapters were: Limited capacity of park staff to fully engage in the design and/or execution of the vulnerability assessments. Most park staff are fully engaged in on-going duties. Inconsistent use of terms, definitions, and protocols, sometimes resulting in confusion or inefficiencies. Discovering and acquiring National Park Service vulnerability assessments because results were inconsistently archived. Aligning results with park needs due to differences in level of detail, scope, and/or resolution, or format(s) for reporting results. Best practices and recommendations identified in multiple chapters were: Ensure that vulnerability assessments are designed to match parks’ needs, and that results are reported in ways that inform identified management decisions. Prioritize resources to be thoroughly assessed so effort is directed to the most important threats and resources. Evaluate all components of vulnerability (not just exposure). Explicitly and systematically address uncertainty, recognizing the range of climate projections and our understanding of potential responses. Identify and, where possible, focus on key vulnerabilities that most threaten conservation or management goals. Embrace partnerships and engage others with necessary expertise. Good vulnerability assessments usually require expertise in a broad range of subject areas.
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Journeay, M., J. Z. K. Yip, C. L. Wagner, P. LeSueur, and T. Hobbs. Social vulnerability to natural hazards in Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330295.

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While we are exposed to the physical effects of natural hazard processes, certain groups within a community often bear a disproportionate share of the negative consequences when a disaster strikes. This study addresses questions of why some places and population groups in Canada are more vulnerable to natural hazard processes than others, who is most likely to bear the greatest burden of risk within a given community or region, and what are the underlying factors that disproportionally affect the capacities of individuals and groups to withstand, cope with, and recover from the impacts and downstream consequences of a disaster. Our assessment of social vulnerability is based on principles and analytic methods established as part of the Hazards of Place model (Hewitt et al., 1971; Cutter, 1996), and a corresponding framework of indicators derived from demographic information compiled as part of the 2016 national census. Social determinants of hazard threat are evaluated in the context of backbone patterns that are associated with different types of human settlement (i.e., metropolitan, rural, and remote), and more detailed patterns of land use that reflect physical characteristics of the built environment and related functions that support the day-to-day needs of residents and businesses at the community level. Underlying factors that contribute to regional patterns of social vulnerability are evaluated through the lens of family structure and level of community connectedness (social capital); the ability of individuals and groups to take actions on their own to manage the outcomes of unexpected hazard events (autonomy); shelter conditions that will influence the relative degree of household displacement and reliance on emergency services (housing); and the economic means to sustain the requirements of day-to-day living (e.g., shelter, food, water, basic services) during periods of disruption that can affect employment and other sources of income (financial agency). Results of this study build on and contribute to ongoing research and development efforts within Natural Resources Canada (NRCan) to better understand the social and physical determinants of natural hazard risk in support of emergency management and broader dimensions of disaster resilience planning that are undertaken at a community level. Analytic methods and results described in this study are made available as part of an Open Source platform and provide a base of evidence that will be relevant to emergency planners, local authorities and supporting organizations responsible for managing the immediate physical impacts of natural hazard events in Canada, and planners responsible for the integration of disaster resilience principles into the broader context of sustainable land use and community development at the municipal level.
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Van Ackern, Pia, and Adrien Detges. Climate change, vulnerability and security in the Sahel. Adelphi research gemeinnützige GmbH, December 2022. http://dx.doi.org/10.55317/casc024.

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Climate change plays an important role in the future of the Sahel. Temperatures, particularly in the northern-central Sahel, could rise 1.5 times faster than the global average. Climate shocks and extreme events such as droughts and heavy rains are projected to become more frequent and severe. These changes are accompanied by other challenges: accelerated population growth, low economic productivity and production diversity, political conflicts and crises, inter-communal violence and violent extremism. However, the severity of climate impacts on livelihoods, food security, mobility and conflict in the Sahel will depend largely on the future evolution of socio-economic and political conditions in the region. These will ultimately determine the vulnerability and resilience of Sahelian communities to climate impacts. The evolution of these conditions is uncertain, but we can consider different scenarios to help Sahelian communities and decision-makers prepare for the possible challenges (and opportunities) ahead. Looking ahead to 2050, this paper presents three scenarios for the part of the Sahel comprising Burkina Faso, Mali and Niger. Each scenario is characterised by a different level of vulnerability and resilience to the future effects of climate change, depending on the social, political and economic parameters that characterise it. Thus, each scenario presents different challenges and opportunities for the security and development of the region. The main purpose of the scenarios is to describe and assess these challenges in order to facilitate anticipatory action. The scenarios presented in this document were developed jointly with 19 experts from the region, working in the fields of climate change adaptation, natural resource management, conflict prevention and other relevant sectors, in order to obtain a multidisciplinary perspective on the main challenges and solutions. The methodological approach is described in the annex. The scenarios presented here are not exhaustive. Rather, they are intended to provide an overview of different possible futures, to provide a basis for adaptation strategies, and to raise awareness among decision-makers and stakeholders in the EU and the Sahel more generally. In particular, the scenarios can be used as tools to identify relevant policy options in the face of uncertain climatic, social, political and economic conditions in the Sahel.
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Cardona, Omar D. Indicators of Disaster Risk and Risk Management. Inter-American Development Bank, July 2005. http://dx.doi.org/10.18235/0010537.

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This document is the summary report of the IDB-sponsored system of disaster risk and risk management indicators presented at the World Conference on Disaster Reduction in Kobe, Japan, 2005. The indices estimate disaster risk loss, distribution, vulnerability and management for 12 countries in Latin America and the Caribbean. The objective of this program is to facilitate access to relevant information on disaster risk and risk management by national decision-makers, thus making possible the identification and proposal of effective policies and actions. The system of indicators herein proposed permits the benchmarking of each country in different periods, from 1980 to 2000, and cross-national comparisons in a systematic and quantitative fashion allowing the identification of its essential economic and social characteristics. It assists the move toward a more analytically rigorous and data driven approach to risk management decision-making.
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Detges, Adrien, André Mueller, and Michelle Helene Reuter. Climate vulnerability and security in the Euphrates-Tigris Basin. Adelphi research gemeinnützige GmbH, June 2023. http://dx.doi.org/10.55317/casc026.

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Climate change will affect millions of people in the Euphrates-Tigris basin. It will add to other foreseeable challenges in a region that is undergoing rapid demographic changes and development, that is grappling with political instability, and that struggles to manage its shared water resources sustainably. Resisting and preparing for the adverse impacts of climate change will be essential for the riparian countries Iraq, Turkey, Syria, and Iran. Their chances to do so successfully over the coming years will largely depend on their ability to build and bolster strong institutions and a healthy economy, to provide a safe environment for their citizens, to carefully manage their natural resources, and to maintain peaceful and productive relations among each other. Looking ahead to the year 2050, this paper develops three possible scenarios for the Euphrates-Tigris basin, each one marked by distinct vulnerability conditions and opportunities for the basin countries to withstand the effects of climate change. Based on these distinctions, the paper identifies scenario-specific climate risks for water resources, lives, and livelihoods, as well as possible implications for migration, political stability, and cross-border water cooperation. The paper builds on CASCADES research which examines the impacts of climate change on trade, investments, sustainable development and human security in the European neighbourhood, with a view to inform European policies and improve interregional cooperation. The scenarios presented in this paper have been co-developed with 30 experts from the region, representing the fields of climate change adaptation, natural resource management, conflict prevention, and other relevant areas, to allow for a multidisciplinary perspective on major challenges and possible solutions. The methodological approach is described in the appendix. The scenarios presented here are not exhaustive. Rather, they display a diverse set of possible future challenges and opportunities to inform strategic planning, promote flexible policies, and encourage a range of adaptation measures by the basin countries and their European partners.
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