Search Results - "malicious JavaScript detection"

ZipAST: Enhancing malicious JavaScript detection with sequence compression by Chen, Zixian, Wang, Weiping, Qin, Yan, Zhang, Shigeng

“…JavaScript is a key component of websites and greatly enhances web page functionality. At the same time, it has become one of the most common attack vectors in…”
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JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction by Huang, Yunhua, Li, Tao, Zhang, Lijia, Li, Beibei, Liu, Xiaojie

“… Although malicious JavaScript detection methods are becoming increasingly effective, the existing methods based on feature matching or static word embeddings are difficult to detect different…”
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Taylor–HHO algorithm: A hybrid optimization algorithm with deep long short‐term for malicious JavaScript detection by Alex, Scaria, Dhiliphan Rajkumar, T.

“…The security of information has become a major issue due to the development of network information‐based technologies. The malicious script, like, JavaScript,…”
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JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network by Fang, Yong, Huang, Chaoyi, Zeng, Minchuan, Zhao, Zhiying, Huang, Cheng

“…Web development technology has experienced significant progress. The creation of JavaScript has highly enriched the interactive ability of the client. However,…”
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Malicious JavaScript Detection Based on Bidirectional LSTM Model by Song, Xuyan, Chen, Chen, Cui, Baojiang, Fu, Junsong

“… To solve this problem, many learning-based methods for malicious JavaScript detection are being explored…”
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Research on Malicious JavaScript Detection Technology Based on LSTM by Fang, Yong, Huang, Cheng, Liu, Liang, Xue, Min

“… By analyzing the existing researches on malicious JavaScript detection, a malicious JavaScript detection model based on LSTM…”
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Spider bird swarm algorithm with deep belief network for malicious JavaScript detection by Alex, Scaria, Dhiliphan Rajkumar, T

“…) algorithm for malicious JavaScript detection. The proposed S-BSA is designed by the integration of Spider Monkey Optimization (SMO…”
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TransAST: A Machine Translation-Based Approach for Obfuscated Malicious JavaScript Detection by Qin, Yan, Wang, Weiping, Chen, Zixian, Song, Hong, Zhang, Shigeng

“…As an essential part of the website, JavaScript greatly enriches its functions. At the same time, JavaScript has become the most common attack payload on…”
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ScriptNet: Neural Static Analysis for Malicious JavaScript Detection by Stokes, Jack W., Agrawal, Rakshit, McDonald, Geoff, Hausknecht, Matthew

“… For internet-scale processing, static analysis offers substantial computing efficiencies. We propose the ScriptNet system for neural malicious JavaScript detection which is based on static analysis…”
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An Approach for Malicious JavaScript Detection Using Adaptive Taylor Harris Hawks Optimization-Based Deep Convolutional Neural Network by 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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Adaptive Spider Bird Swarm Algorithm-Based Deep Recurrent Neural Network for Malicious JavaScript Detection Using Box-Cox Transformation by Alex, Scaria, Rajkumar, T Dhiliphan

“…JavaScript is a scripting language that is commonly used in the web pages for providing dynamic functionality in order to enhance user experience. Malicious…”
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Malicious JavaScript Detection by Features Extraction by Gerardo Canfora, Francesco Mercaldo, Corrado Aaron Visaggio

“…In recent years, JavaScript-based attacks have become one of the most common and successful types of attack. Existing techniques for detecting malicious…”
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Hybrid Optimization Driven Technique for Malicious Javascript Detection Based on Deep Learning Classifier

“…The growth of the web users and thecontents are increasing in a daily basis. In all these webpages the implementation of javascripts are a common factor. These…”
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A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors by 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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Efficient Malicious Javascript Detection Using Character-Level Cnn with Prevalent Content Filtering by Chan, Alvin Chin Khai, Ismail, Ismahani, Marsono, Muhammad Nadzir, Rahman, Ab Al-Hadi Ab, Sadiah, Shahidatul, Rusli, Mohd Shahrizal

“…The growing complexity of JavaScript has significantly enriched the interactive capabilities of client-side applications. However, it also leads to increased…”
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Detecting malicious JavaScript code based on semantic analysis by 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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Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences by 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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Obfuscated malicious javascript detection using classification techniques by Likarish, P., Eunjin Jung, Insoon Jo

“…As the World Wide Web expands and more users join, it becomes an increasingly attractive means of distributing malware. Malicious javascript frequently serves…”
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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation by 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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A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation by 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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