Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption

Abstract

Nowadays, emerging integrated heterogeneous platforms play major roles to host autonomous systems. However, the security issue that comes with such heterogeneous architectures has not been thoroughly explored and imposes great threats and vulnerabilities to these systems. We set out to explore the security issues for the heterogeneous architectures and the corresponding mitigation mechanisms. We investigate the side-channel timing attack in a modern integrated CPU/GPU platform and propose a CPU/GPU co-encryption mechanism CoENC to mitigate the timing attack to provide a secure platform for autonomous systems. Evaluations demonstrate CoENC can effectively enhance the security 29~44 times compared to the baseline with an extra 14%~31% latency overhead.