Secure Sensor Design for Cyber-Physical Systems Against Advanced Persistent Threats

Muhammed O. Sayin, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We introduce a new paradigm to the field of control theory: “secure sensor design”. Particularly, we design sensor outputs cautiously against advanced persistent threats that can intervene in cyber-physical systems. Such threats are designed for the very specific target systems and seeking to achieve their malicious goals in the long term while avoiding intrusion detection. Since such attacks can avoid detection mechanisms, the controller of the system could have already been intervened in by an adversary. Disregarding such a possibility and disclosing information without caution can have severe consequences. Therefore, through secure sensor design, we seek to minimize the damage of such undetected attacks in cyber-physical systems while impacting the ordinary operations of the system at minimum. We, specifically, consider a controlled Markov-Gaussian process, where a sensor observes the state of the system and discloses information to a controller that can have friendly or adversarial intentions. We show that sensor outputs that are memoryless and linear in the state of the system can be optimal, in the sense of game-theoretic hierarchical equilibrium, within the general class of strategies. We also provide a semi-definite programming based algorithm to design the secure sensor outputs numerically.

Original languageEnglish (US)
Title of host publicationDecision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings
EditorsChristopher Kiekintveld, Stefan Schauer, Bo An, Stefan Rass, Fei Fang
Number of pages21
ISBN (Print)9783319687100
StatePublished - 2017
Event8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna, Austria
Duration: Oct 23 2017Oct 25 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10575 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Conference on Decision and Game Theory for Security, GameSec 2017


  • Advanced persistent threats
  • Cyber-physical systems
  • Security
  • Semi-definite programming
  • Sensor design
  • Stackelberg games
  • Stochastic control

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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