Gotowe bibliografie tematyczne / Information flow

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  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
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Gotowa bibliografia na temat „Information flow”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Information flow"

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Mygal, Valeriy, and Galyna Mygal. "Problems of Digitized Information Flow Analysis: Cognitive Aspects." Information & Security: An International Journal 43, no. 2 (2019): 134–44. http://dx.doi.org/10.11610/isij.4312.

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Gruska, Damas P. "Information Flow Testing." Fundamenta Informaticae 128, no. 1-2 (2013): 81–95. http://dx.doi.org/10.3233/fi-2013-934.

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Ahlswede, R., Ning Cai, S. Y. R. Li, and R. W. Yeung. "Network information flow." IEEE Transactions on Information Theory 46, no. 4 (2000): 1204–16. http://dx.doi.org/10.1109/18.850663.

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Carlowicz, Michael. "Flow of information." Eos, Transactions American Geophysical Union 77, no. 27 (1996): 254. http://dx.doi.org/10.1029/eo077i027p00254-02.

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Godlee, F. "Global information flow." BMJ 321, no. 7264 (2000): 776–77. http://dx.doi.org/10.1136/bmj.321.7264.776.

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Godlee, Fiona, Richard Horton, and Richard Smith. "Global information flow." Lancet 356, no. 9236 (2000): 1129–30. http://dx.doi.org/10.1016/s0140-6736(00)02752-5.

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Beraia, M., and G. Beraia. "Energy/information dissipation and blood flow in human body." Cardiology Research and Reports 3, no. 2 (2021): 01–08. http://dx.doi.org/10.31579/2692-9759/017.

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The amount of work done to displace blood in systemic arteries and capillaries exceeds the work done by the left ventricle. Besides, at the heartbeat, electromagnetic energy dissipates from the heart to the whole human body. For the problem study, the dielectric spectroscopy method was used. Ringer’s, amino acid solution, and heparinized venous blood were affected by the external electromagnetic oscillations (100-65000Hz, 1-8MHz.) in 17 healthy individuals. Correlations were noted between the initial and induced signal forms/frequencies according to the impedance of the system. The electric im
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Jimoh Ango, Rafiu, and Adeyemo Yusuf Temitope. "Information Flow Assessment for Rural Transformation in Developing Nations." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1085–89. https://doi.org/10.21275/sr21609214206.

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McCamant, Stephen, and Michael D. Ernst. "Quantitative information flow as network flow capacity." ACM SIGPLAN Notices 43, no. 6 (2008): 193–205. http://dx.doi.org/10.1145/1379022.1375606.

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Hu, Wei, Armaiti Ardeshiricham, and Ryan Kastner. "Hardware Information Flow Tracking." ACM Computing Surveys 54, no. 4 (2021): 1–39. http://dx.doi.org/10.1145/3447867.

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Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, manufacturing, and deployment of hardware circuits. Hardware IFT can detect unintentional design flaws, malicious circuit modifications, timing side channels, access control violations, and other insecure hardware behaviors. This article surveys the area of hardware IFT. We start with a discussion on the basics of IFT, whose foundations
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Rozprawy doktorskie na temat "Information flow"

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Heusser, Jonathan. "Automating quantitative information flow." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1260.

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Unprecedented quantities of personal and business data are collected, stored, shared, and processed by countless institutions all over the world. Prominent examples include sharing personal data on social networking sites, storing credit card details in every store, tracking customer preferences of supermarket chains, and storing key personal data on biometric passports. Confidentiality issues naturally arise from this global data growth. There are continously reports about how private data is leaked from confidential sources where the implications of the leaks range from embarrassment to seri
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Zhang, Xiang. "Efficiency in Emergency medical service system : An analysis on information flow." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1620.

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<p>In an information system which includes plenty of information services, we are always seeking a solution to enhance efficiency and reusability. Emergency medical service system is a classic information system using application integration in which the requirement of information flow transmissions is extremely necessary. We should always ensure this system is running in best condition with highest efficiency and reusability since the efficiency in the system directly affects human life.</p><p>The aim of this thesis is to analysis emergency medical system in both qualitative and quantitative
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Aksakal, Baris. "Makeshift Information Constructions: Information Flow and Undercover Police." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4823/.

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This dissertation presents the social virtual interface (SVI) model, which was born out of a need to develop a viable model of the complex interactions, information flow and information seeking behaviors among undercover officers. The SVI model was created from a combination of various philosophies and models in the literature of information seeking, communication and philosophy. The questions this research paper answers are as follows: 1. Can we make use of models and concepts familiar to or drawn from Information Science to construct a model of undercover police work that effectively repr
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Enescu, Mihai Adrian. "Precisely quantifying software information flow." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57379.

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A common attack point in a program is the input exposed to the user. The adversary crafts a malicious input that alters some internal state of the program, in order to acquire sensitive data, or gain control of the program's execution. One can say that the input exerts a degree of influence over specific program outputs. Although a low degree of influence does not guarantee the program's resistance to attacks, previous work has argued that a greater degree of influence tends to provide an adversary with an easier avenue of attack, indicating a potential security vulnerability. Quantitative in
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Zhu, Ping. "Quantifying information flow with constraints." Thesis, City University London, 2010. http://openaccess.city.ac.uk/12101/.

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Quantifying flow of information in a program involves calculating how much information (e.g. about secret inputs) can be leaked by observing the program's public outputs. Recently this field has attracted a lot of research interest, most of which makes use of Shannon's information theory, e.g. mutual information, conditional entropy, etc. Computability entails that any automated analysis of information is necessarily incomplete. Thus quantitative flow of analyses aim to compute upper bounds on the sizes of the flows in a program. Virtually all the current quantitative analyses treat program va
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Moses, John. "Cohesion prediction using information flow." Thesis, University of Sunderland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387492.

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Payne, Joshua. "Interaction Topologies and Information Flow." ScholarWorks @ UVM, 2009. http://scholarworks.uvm.edu/graddis/177.

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Networks are ubiquitous, underlying systems as diverse as the Internet, food webs, societal interactions, the cell, and the brain. Of crucial importance is the coupling of network structure with system dynamics, and much recent attention has focused on how information, such as pathogens, mutations, or ideas, ow through networks. In this dissertation, we advance the understanding of how network structure a ects information ow in two important classes of models. The rst is an independent interaction model, which is used to investigate the propagation of advantageous alleles in evoluti
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Alhalalat, Saleh Ismail. "Information flow in virtual organisations." Thesis, Loughborough University, 2005. https://dspace.lboro.ac.uk/2134/7757.

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The main aim of the study is to investigate the flows of information and the impact and added value of Information and Communication Technologies (ICTs) on the integration of information flows. This concept is related to the optimal design of organisational (and other) systems that allow the right decision to be made by the right person at the right time in an appropriate location. Clearly, information that is often distributed needs to come together in an efficient way to allow the best use of resources to maximize the information value. The virtual organisation (VO) is a new style of working
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Salvini, Fabio <1992&gt. "Flow logic based information flow analysis of Android applications." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12996.

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Android is the world's most popular mobile OS, with more than 2 billion monthly active devices. Static analysis is an essential tool to protect the sensitive data stored in the devices from malicious applications. In this thesis, we present the first flow logic for the information flow analysis of Dalvik bytecode that is specifically tailored to the peculiar lifecycle of Android applications. A prototype implementation based on a state-of-the-art SMT solver demonstrates the practicality of our approach.
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Bhatia, Shishir. "Structured Information Flow (SIF) Framework for Automating End-to-End Information Flow for Large Organizations." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/31148.

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For almost five decades, since the advent of the first computers for commercial use, the dream of the Paperless Office, a.k.a. total Information flow automation, has eluded the industry. Now, with the emergence of Internet- and Web-based technologies, daily we see examples of organizations like eBay and Amazon that perform their business in a fully automated manner without the use of paper or pen. However, bigger and older organizations that have more complex functions, like government organizations, have not been very successful in harnessing the latest technological innovations to completely
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Książki na temat "Information flow"

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van, Eijck J., and Visser Albert, eds. Logic and information flow. MIT Press, 1994.

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Abramsky, Samson, and Michael Mislove, eds. Mathematical Foundations of Information Flow. American Mathematical Society, 2012. http://dx.doi.org/10.1090/psapm/071.

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Wix, Jeffrey. Information flow in building services. Building Services Research and Information Association, 1986.

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Silva, Flávio Soares Corrêa da. and Agustí i. Cullell Jaume, eds. Information flow and knowledge sharing. Elsevier, 2008.

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Third World Cultural and Information Services Coop. International flow of cultural information. Division of Study and Planning of Development, Unesco, 1987.

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Alvim, Mário S., Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, and Geoffrey Smith. The Science of Quantitative Information Flow. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-96131-6.

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Dretske, Fred I. Knowledge and the flow of information. CSLI Publications, 1999.

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Hillairet, Caroline. Portfolio optimization with different information flow. ISTE Press Ltd, 2017.

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Zavou, Angeliki. Information Flow Auditing in the Cloud. [publisher not identified], 2015.

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Pérez-Montoro, Mario. The phenomenon of information: A conceptual approach to information flow. The Scarecrow Press, Inc., 2007.

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Części książek na temat "Information flow"

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Tranquillo, Joe. "Information Flow." In An Introduction to Complex Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02589-2_6.

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Palamidessi, Catuscia, Mário S. Alvim, and Miguel E. Andrés. "Interactive Information Flow." In Automated Reasoning for Security Protocol Analysis and Issues in the Theory of Security. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16074-5_8.

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Le Guernic, Gurvan. "Information Flow Testing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76929-3_4.

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Scheben, Christoph, and Simon Greiner. "Information Flow Analysis." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49812-6_13.

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Töws, Manuel, and Heike Wehrheim. "Information Flow Certificates." In Theoretical Aspects of Computing – ICTAC 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02508-3_23.

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Rabehaja, Tahiry, Annabelle McIver, Carroll Morgan, and Georg Struth. "Categorical Information Flow." In The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31175-9_19.

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Weik, Martin H. "information flow control." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8931.

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Bangsow, Steffen. "Information Flow Objects." In Manufacturing Simulation with Plant Simulation and SimTalk. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05074-9_8.

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Sturton, Cynthia, and Ryan Kastner. "Information Flow Verification." In Handbook of Computer Architecture. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-9314-3_42.

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Sturton, Cynthia, and Ryan Kastner. "Information Flow Verification." In Handbook of Computer Architecture. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-15-6401-7_42-1.

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Streszczenia konferencji na temat "Information flow"

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Sekar, R. "Information Flow." In CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2020. http://dx.doi.org/10.1145/3411502.3418421.

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Alvim, Mário S., Miguel E. Andrés, and Catus Palamidessi. "Probabilistic Information Flow." In 2010 25th Annual IEEE Symposium on Logic in Computer Science (LICS 2010). IEEE, 2010. http://dx.doi.org/10.1109/lics.2010.53.

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Pasquier, Thomas F. J. M., Jean Bacon, and David Eyers. "FlowK: Information Flow Control for the Cloud." In 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2014. http://dx.doi.org/10.1109/cloudcom.2014.11.

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Colmenero, Gerardo, and David Goldstein. "Turbulent Boundary Layer Control Using Wall Information." In 2nd AIAA Flow Control Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-2116.

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Chen, Haibo, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huang, and Pen-chung Yew. "Control flow obfuscation with information flow tracking." In the 42nd Annual IEEE/ACM International Symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1669112.1669162.

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McCamant, Stephen, and Michael D. Ernst. "Quantitative information flow as network flow capacity." In the 2008 ACM SIGPLAN conference. ACM Press, 2008. http://dx.doi.org/10.1145/1375581.1375606.

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"Publisher's Information." In 2013 Data-Flow Execution Models for Extreme Scale Computing (DFM). IEEE, 2013. http://dx.doi.org/10.1109/dfm.2013.20.

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"Publisher's Information." In 2012 Data-Flow Execution Models for Extreme Scale Computing (DFM). IEEE, 2012. http://dx.doi.org/10.1109/dfm.2012.9.

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Li, Hanbing, Isabelle Puaut, and Erven Rohou. "Traceability of Flow Information." In the 22nd International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2659787.2659805.

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Guttman, Joshua. "Information Flow and Invariance." In 1987 IEEE Symposium on Security and Privacy. IEEE, 1987. http://dx.doi.org/10.1109/sp.1987.10022.

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Raporty organizacyjne na temat "Information flow"

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Quittek, J., S. Bryant, B. Claise, P. Aitken, and J. Meyer. Information Model for IP Flow Information Export. RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5102.

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Claise, B., and B. Trammell, eds. Information Model for IP Flow Information Export (IPFIX). RFC Editor, 2013. http://dx.doi.org/10.17487/rfc7012.

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McLean, John. Security Models and Information Flow. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada462529.

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Boschi, E., B. Trammell, L. Mark, and T. Zseby. Exporting Type Information for IP Flow Information Export (IPFIX) Information Elements. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5610.

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Trammell, B., and E. Boschi. Bidirectional Flow Export Using IP Flow Information Export (IPFIX). RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5103.

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Aitken, P. Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of Flow Information. Edited by B. Claise and B. Trammell. RFC Editor, 2013. http://dx.doi.org/10.17487/rfc7011.

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Sadasivan, G., N. Brownlee, B. Claise, and J. Quittek. Architecture for IP Flow Information Export. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5470.

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Zseby, T., E. Boschi, N. Brownlee, and B. Claise. IP Flow Information Export (IPFIX) Applicability. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5472.

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Trammell, B., A. Wagner, and B. Claise. Flow Aggregation for the IP Flow Information Export (IPFIX) Protocol. RFC Editor, 2013. http://dx.doi.org/10.17487/rfc7015.

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Claise, B., ed. Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of IP Traffic Flow Information. RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5101.

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