Malware Identification Method in Industrial Control Systems Based on Opcode2vec and CVAE-GAN
Author:
Affiliation:
1. The School of Computer Science, Sichuan University, Chengdu 610065, China
2. Pittsburgh Institute, Sichuan University, Chengdu 610065, China
3. College of Computer Science and Cybersecurity, Chengdu University of Technology, Chengdu 610059, China
Abstract
Funder
Fundamental Research Funds for National Key Research and Development Program of China
Central Universities
National Natural Science Foundation of China
Sichuan Provincial Natural Science Foundation
Regional Innovation Cooperation Project
Publisher
MDPI AG
Link
https://www.mdpi.com/1424-8220/24/17/5518/pdf
Reference38 articles.
1. Shi, T., McCann, R.A., Huang, Y., Wang, W., and Kong, J. (2024). Malware Detection for Internet of Things Using One-Class Classification. Sensors, 24.
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3. Machine learning in industrial control system (ICS) security: Current landscape, opportunities and challenges;Koay;J. Intell. Inf. Syst.,2023
4. Research on Malicious Code Evolution and Traceability Technology;Song;J. Softw.,2019
5. An android malware detection method based on system behavior sequences;Jiyun;J. Chongqing Univ.,2020
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