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Defending Hardware-based Malware Detectors against Adversarial Attacks [article]

Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
2020 arXiv   pre-print
In order to address this challenge, researchers have proposed Hardware-assisted Malware Detection (HMD) using Hardware Performance Counters (HPCs).  ...  The HPCs are used to train a set of Machine learning (ML) classifiers, which in turn, are used to distinguish benign programs from Malware.  ...  [22] developed an alternative HMD approach by introducing 2SMaRT, a two stage ML-based classification algorithm, which selects the best HPCs by feature selection, and feeds them into the bi-stage classifier  ... 
arXiv:2005.03644v2 fatcat:bccoigjhizgsxda4cuqmmm3w4i

Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids [article]

Abraham Peedikayil Kuruvila, Ioannis Zografopoulos, Kanad Basu, Charalambos Konstantinou
2021 arXiv   pre-print
Our experiments illustrate that the firmware modifications are successfully identified by our custom-built HPCs utilizing various machine learning-based classifiers.  ...  Furthermore, we employ custom-built hardware performance counters (HPCs) as design-for-security (DfS) primitives to detect malicious firmware modifications on MG inverters.  ...  The study in [24] proposed 2SMaRT, an approach that selects the best HPCs through feature selection and applies a two-stage classifier for malware detection.  ... 
arXiv:2009.07691v2 fatcat:fuw6e5bdkrdnfpl4ca4ginp3k4