Výsledky vyhledávání - "Malicious JavaScript detection"

A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors Autor Ndichu, Samuel, Kim, Sangwook, Ozawa, Seiichi, Misu, Takeshi, Makishima, Kazuo

“…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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JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction Autor Huang, Yunhua, Li, Tao, Zhang, Lijia, Li, Beibei, Liu, Xiaojie

“…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 Autor Fang, Yong, Huang, Cheng, Su, Yu, Qiu, Yaoyao

“…Web development technology has undergone tremendous evolution, the creation of JavaScript has greatly enriched the interactive capabilities of the client…”
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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation Autor Rozi, Muhammad Fakhrur, Ban, Tao, Ozawa, Seiichi, Yamada, Akira, Takahashi, Takeshi, Kim, Sangwook, Inoue, Daisuke

“…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 Autor Alex, Scaria, T, Dhiliphan Rajkumar

“…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 Autor Rozi, Muhammad Fakhrur, Kim, Sangwook, Ozawa, Seiichi

“…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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A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation Autor Ndichu, Samuel, Ozawa, Seiichi, Misu, Takeshi, Okada, Kouichirou

“…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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