Search Results - "malicious JavaScript detection"
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A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors
ISSN: 1568-4946, 1872-9681Published: Elsevier B.V 01.11.2019Published in Applied soft computing (01.11.2019)“…Websites attract millions of visitors due to the convenience of services they offer, which provide for interesting targets for cyber attackers. Most of these…”
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Journal Article -
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JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction
ISSN: 0167-4048, 1872-6208Published: Elsevier Ltd 01.05.2021Published in Computers & security (01.05.2021)“…JavaScript has played a crucial role in web development, making it a primary tool for hackers to launch assaults. Although malicious JavaScript detection…”
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Detecting malicious JavaScript code based on semantic analysis
ISSN: 0167-4048, 1872-6208Published: Amsterdam Elsevier Ltd 01.06.2020Published in Computers & security (01.06.2020)“…Web development technology has undergone tremendous evolution, the creation of JavaScript has greatly enriched the interactive capabilities of the client…”
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Journal Article -
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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2023Published in IEEE Access (2023)“…Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities. Detecting these…”
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An Approach for Malicious JavaScript Detection Using Adaptive Taylor Harris Hawks Optimization-Based Deep Convolutional Neural Network
ISSN: 1947-3532, 1947-3540Published: IGI Global 20.05.2022Published in International journal of distributed systems and technologies (20.05.2022)“…JavaScript has to become a pervasive web technology that facilitates interactive and dynamic Web sites. The extensive usage and the properties permit the…”
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Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences
ISSN: 2161-4407Published: IEEE 01.07.2020Published in Proceedings of ... International Joint Conference on Neural Networks (01.07.2020)“…JavaScript is a dynamic computer programming language that has been used for various cyberattacks on client-side web applications. Malicious behaviors in…”
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Conference Proceeding -
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A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation
ISSN: 2161-4407Published: IEEE 01.07.2018Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)“…To add more functionality and enhance usability of web applications, JavaScript (JS) is frequently used. Even with many advantages and usefulness of JS, an…”
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Conference Proceeding