VMSecDefender: virtual machine malicious processes detection by using GRU

Zhi Chen; Kai Deng; Wenqi Zheng

doi:10.1117/12.3009414

16 October 2023 VMSecDefender: virtual machine malicious processes detection by using GRU

Zhi Chen, Kai Deng, Wenqi Zheng

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033D (2023) https://doi.org/10.1117/12.3009414
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Virtual machines in Infrastructure as a Service environment based on a shared responsibility model involves a lot of security vulnerabilities. Virtual machines communicate with others, after a single virtual machine is attacked, the software infrastructure will be threatened by malicious programs. We propose an anomaly detection method for virtual machine malicious processes based on GRU model. This method could collect system call information in the virtual machine in a no-agent way. This detection model is based on GRU, which can detect the abnormal behavior of processes in virtual machines and experiments prove that this method could have a good performance in malicious behavior detection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi Chen, Kai Deng, and Wenqi Zheng "VMSecDefender: virtual machine malicious processes detection by using GRU", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033D (16 October 2023); https://doi.org/10.1117/12.3009414

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