Unsupervised detection of security threats in cyberphysical system and IoT devices based on power fingerprints and RBM autoencoders

  • Albasir A
  • Hu Q
  • Naik K
  • et al.
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Abstract

The Journal of Surveillance, Security and Safety is an international, peer-reviewed, open access journal which provides a forum for the publication of papers addressing the variety of theoretical, methodological, epistemological, empirical and practical issues concerns reflected in the field of information security, cyber security, machine learning, emerging technologies, and their applications.

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Albasir, A., Hu, Q., Naik, K., & Naik, N. (2021). Unsupervised detection of security threats in cyberphysical system and IoT devices based on power fingerprints and RBM autoencoders. Journal of Surveillance, Security and Safety. https://doi.org/10.20517/jsss.2020.19

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