Optimal sensor design for secure cyber-physical systems

Research output: Contribution to journalConference articlepeer-review


The vision of secure cyber-physical systems requires to develop a new array of tools to prevent, monitor for, and recover from a wide variety of potential attacks to a system. We contribute to this vision here by addressing the problem of optimal sensor design for detection of injection attacks. More precisely, we consider an attack in which a sensor output is corrupted, and we have at our disposal a sensor deployed in an ad-hoc fashion and thus is secure. How to design the sensor so that we maximize the probability of detection of such an injection attack? We pose the problem here as an hypothesis test, describe an optimization problem that the optimal sensor needs to satisfy, and furthermore obtain the analytic solution in a particular case.

Original languageEnglish (US)
Pages (from-to)387-390
Number of pages4
Issue number20
StatePublished - 2019
Event8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NECSYS 2019 - Chicago, United States
Duration: Sep 16 2019Sep 17 2019


  • Cyber-physical systems
  • Neyman-Pearson test
  • Secure sensing
  • Sensor design

ASJC Scopus subject areas

  • Control and Systems Engineering

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