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Defending Hardware-based Malware Detectors against Adversarial Attacks
[article]
2020
arXiv
pre-print
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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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2009.07691v1 fatcat:652p6hw2ezhuzekxfszkilwiqa
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