Results 21 to 30 of about 81,678 (257)
Malicious URL Detection Based on Associative Classification
Entropy, 2021 Cybercriminals use malicious URLs as distribution channels to propagate malware over the web. Attackers exploit vulnerabilities in browsers to install malware to have access to the victim’s computer remotely. The purpose of most malware is to gain access
Sandra Kumi, ChaeHo Lim, Sang-Gon Lee
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The Internet: Where Did IT All Go Wrong?
SCRIPTed: A Journal of Law, Technology & Society, 2008 It is hard to imagine life today without the Internet, and all of the benefits that it brings to our business and personal lives: convenient, cheap and instant communication across time zones and national boundaries; online shopping and banking; document
Robert Schifreen
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Applied Sciences, 2023 In phishing attack detection, machine learning-based approaches are more effective than simple blacklisting strategies, as they can adapt to new types of attacks and do not require manual updates. However, for these approaches, the choice of features and
Sibel Kapan, Efnan Sora Gunal
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Integration biometrics in web application: Security for web apps [PDF]
International Research Journal of Science, Technology, Education, and Management, 2023 To evaluate the effectiveness of biometric security systems, an information theoretic framework is constructed. First, two performance metrics privacy, determined by the biometric measurements' normalized equivocation rate, and security, determined by ...
Wulandari Kusuma Herdanu +2 more
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Robust Image Hashing Scheme Based on Low-Rank Decomposition and Path Integral LBP
IEEE Access, 2019 This paper presents a robust image hashing algorithm that exploits low-rank decomposition and path integral local binary pattern (pi-LBP), referred to LRPL hashing.
Hengfu Yang, Jianping Yin, Ying Yang
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A Survey of Exploitation and Detection Methods of XSS Vulnerabilities
IEEE Access, 2019 As web applications become more prevalent, web security becomes more and more important. Cross-site scripting vulnerability abbreviated as XSS is a kind of common injection web vulnerability.
Miao Liu +3 more
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Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites
Machine Learning and Knowledge Extraction, 2021 The subpath kernel is a class of positive definite kernels defined over trees, which has the following advantages for the purposes of classification, regression and clustering: it can be incorporated into a variety of powerful kernel machines including ...
Kilho Shin +3 more
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Toward Exposing Timing-Based Probing Attacks in Web Applications
Sensors, 2017 Web applications have become the foundation of many types of systems, ranging from cloud services to Internet of Things (IoT) systems. Due to the large amount of sensitive data processed by web applications, user privacy emerges as a major concern in web
Jian Mao +4 more
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Circuit: A JavaScript Memory Heap-Based Approach for Precisely Detecting Cryptojacking Websites
IEEE Access, 2022 Cryptojacking is often used by attackers as a means of gaining profits by exploiting users’ resources without their consent, despite the anticipated positive effect of browser-based cryptomining.
Hyunji Hong +4 more
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Grey-Box Fuzzing Based on Reinforcement Learning for XSS Vulnerabilities
Applied Sciences, 2023 Cross-site scripting (XSS) vulnerabilities are significant threats to web applications. The number of XSS vulnerabilities reported has increased annually for the past three years, posing a considerable challenge to web application maintainers.
Xuyan Song +3 more
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