MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs

arXiv:2403.01860v1 Announce Type: new
Abstract: The security of cloud field-programmable gate arrays (FPGAs) faces challenges from untrusted users attempting fault and side-channel attacks through malicious circuit configurations. Fault injection attacks can result in denial of service, disrupting functionality or leaking secret information. This threat is further amplified in multi-tenancy scenarios. Detecting such threats before loading onto the FPGA is crucial, but existing methods face difficulty identifying sophisticated attacks.
We present MaliGNNoma, a machine learning-based solution that accurately identifies malicious FPGA …

arxiv attacks can challenges channel cloud cs.cr denial of service information injection injection attacks malicious multi-tenancy result secret secure cloud security service side-channel side-channel attacks threat untrusted