Search Results - "malicious JavaScript"

Detection of Obfuscated Malicious JavaScript Code by Alazab, Ammar, Khraisat, Ansam, Alazab, Moutaz, Singh, Sarabjot

“…Websites on the Internet are becoming increasingly vulnerable to malicious JavaScript code because of its strong impact and dramatic effect…”
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ZipAST: Enhancing malicious JavaScript detection with sequence compression by Chen, Zixian, Wang, Weiping, Qin, Yan, Zhang, Shigeng

“… With the advancements in deep learning technologies, deep learning networks have shown the ability to automatically learn strong feature representations from malicious JavaScript…”
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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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Taylor–HHO algorithm: A hybrid optimization algorithm with deep long short‐term for malicious JavaScript detection by Alex, Scaria, Dhiliphan Rajkumar, T.

“… In addition, the attackers can easily induce malicious JavaScript into webpages for implanting attacks, like, phishing, spreading viruses, and Trojan horses…”
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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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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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Research on Malicious JavaScript Detection Technology Based on LSTM by Fang, Yong, Huang, Cheng, Liu, Liang, Xue, Min

“…The attacker injects malicious JavaScript into web pages to achieve the purpose of implanting Trojan horses, spreading viruses, phishing, and obtaining secret information…”
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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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JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation by Ren, Kunlun, Qiang, Weizhong, Wu, Yueming, Zhou, Yi, Zou, Deqing, Jin, Hai

“… As the main programming language for Web applications, many methods have been proposed for detecting malicious JavaScript, among which static analysis-based methods play an important role…”
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Detection of malicious javascript on an imbalanced dataset by Phung, Ngoc Minh, Mimura, Mamoru

“…In order to be able to detect new malicious JavaScript with low cost, methods with machine learning techniques have been proposed and gave positive results…”
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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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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…”
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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

“…s. Although researchers are constantly proposing methods to detect malicious JavaScript, the emergence of obfuscation technology makes it difficult for previous approaches to detect disguised malicious…”
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Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement by Ndichu, Samuel, Kim, Sangwook, Ozawa, Seiichi

“…Obfuscation is rampant in both benign and malicious JavaScript (JS) codes. It generates an obscure and undetectable code that hinders comprehension and analysis…”
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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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Malicious JavaScript Code Detection Based on Hybrid Analysis by He, Xincheng, Xu, Lei, Cha, Chunliu

“… However, since the heavy use of obfuscation techniques, many methods no longer apply to malicious JavaScript code detection, and it has been a huge challenge to de-obfuscate obfuscated malicious Java…”
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PyRHOH: A meta-learning analysis framework for determining the impact of compilation on malicious JavaScript identification by Fulkerson, Eli, Yocam, Eric, Vaidyan, Varghese, Kamepalli, Mahesh, Wang, Yong, Comert, Gurcan

“…Automated identification of malicious JavaScript is a core problem within modern malware analysis…”
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Detecting Malicious Javascript in PDF through Document Instrumentation by Daiping Liu, Haining Wang, Stavrou, Angelos

“… In this paper, we propose a context-aware approach for detection and confinement of malicious Javascript in PDF…”
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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

“… This paper devises a novel technique for detecting malicious JavaScript. Here, JavaScript codes are fed to the feature extraction phase for extracting the noteworthy…”
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A Survey on Current Malicious JavaScript Behavior of infected Web Content in Detection of Malicious Web pages by Nurulsafawati Wan Manan, Wan, Nizam Mohmad Kahar, Mohd, Mohd Ali, Noorlin

“…In recent years, the advance growth of cybercrime has become an urgent issue to the security authorities. With the improvement of web technologies enable…”
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