Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. (arXiv:2212.14677v1 [cs.CR])

In the last years, the number of IoT devices deployed has suffered an
undoubted explosion, reaching the scale of billions. However, some new
cybersecurity issues have appeared together with this development. Some of
these issues are the deployment of unauthorized devices, malicious code
modification, malware deployment, or vulnerability exploitation. This fact has
motivated the requirement for new device identification mechanisms based on
behavior monitoring. Besides, these solutions have recently leveraged Machine
and Deep Learning techniques due to the advances in …

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