Paper
13 April 2023 Research on SGX-based network adversarial host log highly trusted collection method
Yuxiang Zhang, Congwang Kong, Ming Xian, Hongjiang Zhang
Author Affiliations +
Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 126051D (2023) https://doi.org/10.1117/12.2673720
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China
Abstract
With the increasingly fierce offensive and defensive confrontation in cyberspace, security threats have spread to the field of network terminal equipment data monitoring and collection, and the problems of network terminal equipment data collection being damaged and tampered with under the offensive and defensive environment are prominent. To this end, this paper proposes an SGX-based network countermeasure host log highly trusted collection method, adopts SGX hardware-level protection technology as the security reinforcement means, and conducts research on log collection methods, transmission methods, and storage methods. In this paper, the SGX-based network countermeasure host log highly trusted collection system is designed with full consideration of the collection strategy for host logs of multi-operating system platforms. At the same time, not only the physical host collection scenario is considered in the scheme design, but also the host log collection task for virtual machines in the cloud platform with the continuous development of cloud computing, which greatly broadens the application scenario of this method and satisfies most of the network scenarios in reality.
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Yuxiang Zhang, Congwang Kong, Ming Xian, and Hongjiang Zhang "Research on SGX-based network adversarial host log highly trusted collection method", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 126051D (13 April 2023); https://doi.org/10.1117/12.2673720
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KEYWORDS
Computer security

Data transmission

Network security

Elasticity

Windows

Data acquisition

Environmental monitoring

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