Real-Time Hardware-Based Malware and Micro-Architectural Attack Detection Utilizing CMOS Reservoir Computing

In this work we demonstrate a novel CMOS reservoir computer (RC) prototype in 65nm CMOS that is capable of detecting Malware and micro-architectural attacks in realtime utilizing hardware performance counter (HPC) traces. A 65nm test chip achieves 96.8% and 96.5% accuracy when classifying Malware and micro-architectural attacks respectively, while achieving better classification performance than digital machine learning models and with lower energy consumption. The on-chip classifier consumes 38.2 mu W from a 1.2V supply while running at 40kHz.

Automated summary

In this work, we present a novel prototype of a reservoir computer (RC) in 65nm CMOS, capable of detecting Malware and micro-architectural attacks in realtime using hardware performance counter (HPC) traces. The test chip achieves high accuracy in classifying Malware and micro-architectural attacks, outperforming digital machine learning models while consuming lower energy.