Detection and Compensation of Covert Service-Degrading Intrusions in Cyber Physical Systems through Intelligent Adaptive Control

Faezeh Farivar, Mohammad Sayad Haghighi, Soheila Barchinezhad, Alireza Jolfaei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cyber-Physical Systems (CPS) are playing important roles in the critical infrastructure now. A prominent family of CPSs are networked control systems in which the control and feedback signals are carried over computer networks like the Internet. Communication over insecure networks make system vulnerable to cyber attacks. In this article, we design an intrusion detection and compensation framework based on system/plant identification to fight covert attacks. We collect error statistics of the output estimation during the learning phase of system operation and after that, monitor the system behavior to see if it significantly deviates from the expected outputs. A compensating controller is further designed to intervene and replace the classic controller once the attack is detected. The proposed model is tested on a DC motor as the plant and is put against a deception signal amplification attack over the forward link. Simulation results show that the detection algorithm well detects the intrusion and the compensator is also successful in alleviating the attack effects.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2019 IEEE International Conference on Industrial Technology (ICIT)
Place of PublicationNew Jersey, USA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1143-1148
Number of pages6
ISBN (Print)9781538663769
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Control
  • Covert
  • Cyber physical system
  • Cyber security
  • Identification
  • Intrusion detection
  • Service degradation.

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