ERMDS: A obfuscation dataset for evaluating robustness of learning-based malware detection system

ERMDS: A obfuscation dataset for evaluating robustness of learning-based malware detection system

Learning-based malware detection systems (LB-MDS) play a crucial role in defending computer systems from malicious attacks. Nevertheless, these systems can be vulnerable to various attacks, which can have significant consequences. Software obfuscation techniques can be used to modify the features of...

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Bibliografski detalji
Glavni autori: Lichen Jia, Yang Yang, Bowen Tang, Zihan Jiang
Format: Članak
Jezik:English
Izdano: KeAi Communications Co. Ltd. 2023-02-01
Serija:BenchCouncil Transactions on Benchmarks, Standards and Evaluations
Teme:
Dataset
Malware detection system
Security
Machine learning
Adversarial malware
Online pristup:http://www.sciencedirect.com/science/article/pii/S2772485923000236

Internet

http://www.sciencedirect.com/science/article/pii/S2772485923000236

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