Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation

Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities. Detecting these malicious scripts is challenging, given their diverse nature and the continuous evolution of attack techniques. Most approaches formulate th...

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Bibliographic Details
Main Authors: Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Sangwook Kim, Daisuke Inoue
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Abstract syntax tree
cyber security
graph neural network
malicious JavaScript detection
source code representation
Online Access:https://ieeexplore.ieee.org/document/10255646/

Internet

https://ieeexplore.ieee.org/document/10255646/

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