JACLNet:Application of adaptive code length network in JavaScript malicious code detection.
Currently, JavaScript malicious code detection methods are becoming more and more effective. Still, the existing methods based on deep learning are poor at detecting too long or too short JavaScript code. Based on this, this paper proposes an adaptive code length deep learning network JACLNet, compo...
Main Authors: | Zhining Zhang, Liang Wan, Kun Chu, Shusheng Li, Haodong Wei, Lu Tang |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0277891 |
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