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

Sanjeev Tannirkulam Chandrasekaran, Abraham Peedikayil Kuruvila, Kanad Basu, Arindam Sanyal

Research output: Contribution to journalArticlepeer-review

Abstract

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 38.2μW from a 1.2V supply while running at 40kHz.

Original languageEnglish (US)
Pages (from-to)349-353
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume69
Issue number2
DOIs
StatePublished - Feb 1 2022
Externally publishedYes

Keywords

  • Hardware
  • Malware
  • Neurons
  • Perturbation methods
  • Program processors
  • Reservoirs
  • Resists

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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