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Relevant bibliographies by topics / Online Intrusion / Dissertations / Theses

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Dissertations / Theses on the topic 'Online Intrusion'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ahmed, Abdulbasit. "Online network intrusion detection system using temporal logic and stream data processing." Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/12153/.

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These days, the world is becoming more interconnected, and the Internet has dominated the ways to communicate or to do business. Network security measures must be taken to protect the organization environment. Among these security measures are the intrusion detection systems. These systems aim to detect the actions that attempt to compromise the confidentiality, availability, and integrity of a resource by monitoring the events occurring in computer systems and/or networks. The increasing amounts of data that are transmitted at higher and higher speed networks created a challenging problem for

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2

Shafi, Kamran Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "An online and adaptive signature-based approach for intrusion detection using learning classifier systems." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/38991.

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This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine learning techniques. The two major criticisms of the signature based intrusion detection systems are their i) reliance on domain experts to handcraft intrusion signatures and ii) inability to detect previously unknown attacks or the attacks for which no signatures are available at the time. In this thesis, we present a biologically-inspired computational approach to address these two issues. This is done by adaptively learning maximally general rules, whic

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3

Al, Rawashdeh Khaled. "Toward a Hardware-assisted Online Intrusion Detection System Based on Deep Learning Algorithms for Resource-Limited Embedded Systems." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535464571843315.

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4

Norton, Aaron Michael. "Technology mediated communication in intimate relationships." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18126.

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Doctor of Philosophy<br>Department of Family Studies and Human Services<br>Joyce Baptist<br>Very little research has been conducted to understand how the technology revolution has changed and impacted couple relationships. The proposed study examined the impact of technology on couples in committed relationships through the lens of the couple and technology framework. Specifically, this study used data from 2,826 European couples to examine associations between online boundary crossing, online intrusion, relationship satisfaction, and partner responsiveness. The results suggest that when parti

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5

Chen, Bo. "Byzantine Fault Tolerance for Nondeterministic Applications." Cleveland State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=csu1231600826.

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6

Damour, Gabriel. "Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252560.

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With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. In this paper we begin by reviewing the different approaches to feature construction and attack source identification employed in such applications. We refer to these ste

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7

Kim, Dae Wook. "Data-Driven Network-Centric Threat Assessment." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495191891086814.

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8

Wallin, Clas, and Sara Wisseng. "Konsten att förmedla online-annonser : En studie om vilken typ av online-annonser som används för att nå ut till internetanvändare på ett mindre påträngande sätt." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-31873.

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Påträngande och störande annonser har blivit alltmer vanligt på internet vilket har medfört att konsumenter fått en alltmer negativ inställning till online-annonser. Därmed har användningen av mjukvaror för blockering av annonser på senare tid blivit alltmer vanligt. Detta har medfört minskningar i reklamintäkter för företag som använder sig av webbaserad marknadsföring, vilket har lagt för handen att de måste anpassa sina online-annonser till konsumenten för att kunna hålla verksamheten lönsam. Syftet med denna studie är att undersöka vilken typ av online-annonser som används för att nå ut ti

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9

Tokunaga, Robert S. "Cyber-intrusions : strategies of coping with online obsessive relational intrusion." Thesis, 2007. http://hdl.handle.net/10125/20905.

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10

Ribeiro, Tiago Miguel Pereira. "Online Machine Learning-enabled Network Intrusion Detection." Dissertação, 2021. https://hdl.handle.net/10216/134763.

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Machine Learning (ML) is seeing growing usage on Network Intrusion Detection Systems (NIDS) and allowing for an early detection of novel attacks, a prime example of how this technology may be applied to the field of cybersecurity. However, computational requirements associated with ML might make it difficult to process traffic in real time, particularly when dealing with a large volume of data or a high throughput connection, undermining the NIDS' usefulness or its detection capabilities. The goal of this dissertation is to implement an IDS capable of detecting malware command and control traf

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11

Ribeiro, Tiago Miguel Pereira. "Online Machine Learning-enabled Network Intrusion Detection." Master's thesis, 2021. https://hdl.handle.net/10216/134763.

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Machine Learning (ML) is seeing growing usage on Network Intrusion Detection Systems (NIDS) and allowing for an early detection of novel attacks, a prime example of how this technology may be applied to the field of cybersecurity. However, computational requirements associated with ML might make it difficult to process traffic in real time, particularly when dealing with a large volume of data or a high throughput connection, undermining the NIDS' usefulness or its detection capabilities. The goal of this dissertation is to implement an IDS capable of detecting malware command and control traf

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12

Wang, Hongrui. "Online intrusion detection design and implementation for SCADA networks." Thesis, 2017. http://hdl.handle.net/1828/7984.

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The standardization and interconnection of supervisory control and data acquisition (SCADA) systems has exposed the systems to cyber attacks. To improve the security of the SCADA systems, intrusion detection system (IDS) design is an effective method. However, traditional IDS design in the industrial networks mainly exploits the prede fined rules, which needs to be complemented and developed to adapt to the big data scenario. Therefore, this thesis aims to design an anomaly-based novel hierarchical online intrusion detection system (HOIDS) for SCADA networks based on machine learning algorith

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13

Martins, Alexandre dos Santos. "A new method for non-intrusive online wiring health monitoring." Master's thesis, 2015. http://hdl.handle.net/10400.26/11966.

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This work presents a method for preventing faults in cables prior to their happening, e.g. due to wire ageing and mounting xtures. The proposed method focus in large diameter cables delivering high currents in aircraft. However, this method could be useful in other scenarios where wiring problems could cause critical problems such as in nuclear power plants, automobiles or trains. The method consists of a sensor embedded in the cable. The sensor is made of several thin wires wrapped around the insulator of the monitoring cable in a mesh grid pattern. The cable with the embedded sensor

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14

Chen, Hung-Wei, and 陳弘偉. "Understanding Online Intrusive Advertising: Antecedents and Consequences of Cognitive Engagement." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/5m8vps.

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碩士<br>國立臺北大學<br>企業管理學系<br>102<br>How to improve ad effectiveness while reducing ad intrusiveness is an important issue. This study investigates the effects of the phases of a browsing path, relatedness between episodes and information type on a viewer’s cognitive engagement in webpage content on the basis of the attention inertia theory. This study also examines the relationship between cognitive engagement and ad intrusiveness. As a website viewer generates attention inertia and highly engages in webpage content the cognitive processing is intensified. We posit that the interruption of a view

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15

Tsai, Jui-Lun, and 蔡睿倫. "Understanding Online Intrusive Video Advertising: Antecedents and Consequences of Cognitive Absorption in Video Scenarios." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/fwvrbk.

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碩士<br>國立臺北大學<br>企業管理學系<br>103<br>Improving ad effectiveness and reducing ad intrusiveness is an essential issue for online advertising. This study investigates the antecedents of cognitive absorption in online video environment and understands the effect of cognitive absorption on the viewer’ attitude toward the video advertising. The study examines the effects of relevance of content, balance between skill and challenge, interestingness, and relatedness between episodes on video viewers’ cognitive absorption on the basis of cognitive absorption theory and the inter-related theories: visual se

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16

Bellentani, Tommaso Maria. "The impact of Cookie Consent Notices on user’s privacy concerns : an empirical analysis." Master's thesis, 2020. http://hdl.handle.net/10400.14/31234.

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Online privacy has become a significant issue in our society with the use of personal information widespread by websites and firms. To regulate this market, the European Union adopted the General Data Protection Regulation to protect online privacy and give back power to users, requiring firms to recover consent before gathering users’ personal information. Therefore, websites introduced cookie consent notices that allow users to specify their choice regarding the management of personal data. However, this design can manipulate user’s privacy concerns while navigating the website. To find out

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