GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves inserting perturbing API calls to modify these sequences. The type of inserted API calls and their insertion...

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Bibliographic Details
Published in:	IEEE transactions on dependable and secure computing Vol. 22; no. 5; pp. 5431 - 5447
Main Authors:	Zhan, Dazhi, Liu, Xin, Bai, Wei, Li, Wei, Guo, Shize, Pan, Zhisong
Format:	Journal Article
Language:	English
Published:	Washington IEEE 01.09.2025 IEEE Computer Society
Subjects:	adversarial example API call Application programming interface Application programming interfaces Closed box Computational modeling Cybersecurity dynamic analysis Feature extraction Games Generative adversarial networks Greedy algorithms IAT hooking Insertion Malware Operating systems Reinforcement learning reinforcement learning (RL) Training
ISSN:	1545-5971, 1941-0018
Online Access:	Get full text
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