Suchergebnisse - "malicious javaScript"

JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction von 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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A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors von 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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ZipAST: Enhancing malicious JavaScript detection with sequence compression von 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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JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network von 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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Detection of Obfuscated Malicious JavaScript Code von 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. Numerous recent …”
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Cross-Site Scripting (XSS) attacks and defense mechanisms: classification and state-of-the-art von Gupta, Shashank, Gupta, B. B.

“… Nowadays, web applications are becoming one of the standard platforms for representing data and service releases over the World Wide Web. Since web …”
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Detecting malicious JavaScript code based on semantic analysis von 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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Malicious and Benign Webpages Dataset von Singh, A.K.

“… Web Security is a challenging task amidst ever rising threats on the Internet. With billions of websites active on Internet, and hackers evolving newer …”
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Combating phishing and script-based attacks: a novel machine learning framework for improved client-side security von Hong, Jiwon, Kim, Hyeongmin, Oh, Suhyeon, Im, Yerin, Jeong, Hyeonseong, Kim, Hyunmin, Jang, Eunkueng, Kim, Kyounggon

“… Given the rising challenge of client-based web attacks through vulnerabilities in websites, traditional pattern detection methods often fall short in …”
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Malicious JavaScript Detection Based on Bidirectional LSTM Model von Song, Xuyan, Chen, Chen, Cui, Baojiang, Fu, Junsong

“… JavaScript has been widely used on the Internet because of its powerful features, and almost all the websites use it to provide dynamic functions. However, …”
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Detection of malicious javascript on an imbalanced dataset von 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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Taylor–HHO algorithm: A hybrid optimization algorithm with deep long short‐term for malicious JavaScript detection von 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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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation von 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 von 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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JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation von Ren, Kunlun, Qiang, Weizhong, Wu, Yueming, Zhou, Yi, Zou, Deqing, Jin, Hai

“… Due to the convenience and popularity of Web applications, they have become a prime target for attackers. As the main programming language for Web …”
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ImageSubXSS: an image substitute technique to prevent Cross-Site Scripting attacks von Nagarjun, PMD, Ahamad, Shaik Shakeel

“… Cross-Site Scripting (XSS) is one of serious web application attack. Web applications are involved in every activity of human life. JavaScript plays a major …”
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Lightweight Detection Method of Obfuscated Landing Sites Based on the AST Structure and Tokens von Han, KyungHyun, Hwang, Seong Oun

“… Attackers use a variety of techniques to insert redirection JavaScript that leads a user to a malicious webpage, where a drive-by-download attack is executed …”
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Detecting Malicious Javascript in PDF through Document Instrumentation von Daiping Liu, Haining Wang, Stavrou, Angelos

“… An emerging threat vector, embedded malware inside popular document formats, has become rampant since 2008. Owed to its wide-spread use and Javascript support, …”
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A Cloud-based Protection approach against JavaScript-based attacks to browsers von Hsu, Fu-Hau, Hwang, Yan-Ling, Lee, Chia-Hao, Lin, Chieh-Ju, Chang, KaiWei, Huang, Chen-Chia

“… JavaScript is a standard of client-side scripting languages. Due to its cross-platform property, JavaScript is widely used in web pages. Hence its security …”
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Analysis and Identification of Malicious JavaScript Code von Fraiwan, Mohammad, Al-Salman, Rami, Khasawneh, Natheer, Conrad, Stefan

“… Malicious JavaScript code has been actively and recently utilized as a vehicle for Web-based security attacks. By exploiting vulnerabilities such as cross-site …”
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