Detecting malicious JavaScript code based on semantic analysis

Web development technology has undergone tremendous evolution, the creation of JavaScript has greatly enriched the interactive capabilities of the client. However, attackers use the dynamics feature of JavaScript language to embed malicious code into web pages for the purpose of drive-by-download, r...

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Bibliographic Details
Published in:	Computers & security Vol. 93; pp. 101764 - 9
Main Authors:	Fang, Yong, Huang, Cheng, Su, Yu, Qiu, Yaoyao
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Ltd 01.06.2020 Elsevier Sequoia S.A
Subjects:	Abstract syntax tree Algorithms Attention Attention mechanism Bi-LSTM Experiments FastText Java JavaScript Malicious JavaScript detection Malware Semantic analysis Semantic change Semantics Sequences Static analysis Syntax Technology assessment Websites Words (language) Bi-LSTM Attention mechanism Malicious JavaScript detection Abstract syntax tree Static analysis FastText
ISSN:	0167-4048, 1872-6208
Online Access:	Get full text
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