Overview of Security for Smart Cyber-Physical Systems

Faiq Khalid, Semeen Rehman, Muhammad Shafique

Research output: Chapter in Book/Report/Conference proceedingChapter


The tremendous growth of interconnectivity and dependencies of physical and cyber domains in cyber-physical systems (CPS) makes them vulnerable to several security threats like remote cyber-attacks, hardware, and software-based side-channel attacks, especially in safety-critical applications, i.e., healthcare, autonomous driving, etc. Though traditional software or hardware security measures can address these attacks in the respective domains due to enormous data and interdependencies of the physical-world and cyber-world, these techniques cannot be used directly. Therefore, to address these challenges, machine learning-based security measures have been proposed. This chapter first presents a brief overview of various security threats at different CPS layers, their respective threat models, and associated research challenges towards developing robust security measures. Towards the end, we briefly discuss and present a preliminary analysis of the state-of-the-art online anomaly detection techniques that leverage the machine learning algorithms and property-specific language, respectively.

Original languageEnglish (US)
Title of host publicationSecurity of Cyber-Physical Systems
Subtitle of host publicationVulnerability and Impact
PublisherSpringer International Publishing
Number of pages20
ISBN (Electronic)9783030455415
ISBN (Print)9783030455408
StatePublished - Jan 1 2020


  • Attack
  • Cyber-physical
  • Industry 4
  • Security
  • Smart system

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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