• DocumentCode
    33534
  • Title

    Effect of Intrusion Detection and Response on Reliability of Cyber Physical Systems

  • Author

    Mitchell, Robert ; Chen, I-Chieh

  • Author_Institution
    Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Falls Church, VA, USA
  • Volume
    62
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    199
  • Lastpage
    210
  • Abstract
    In this paper we analyze the effect of intrusion detection and response on the reliability of a cyber physical system (CPS) comprising sensors, actuators, control units, and physical objects for controlling and protecting a physical infrastructure. We develop a probability model based on stochastic Petri nets to describe the behavior of the CPS in the presence of both malicious nodes exhibiting a range of attacker behaviors, and an intrusion detection and response system (IDRS) for detecting and responding to malicious events at runtime. Our results indicate that adjusting detection and response strength in response to attacker strength and behavior detected can significantly improve the reliability of the CPS. We report numerical data for a CPS subject to persistent, random and insidious attacks with physical interpretations given.
  • Keywords
    Petri nets; cybernetics; probability; random processes; security of data; stochastic processes; CPS reliability; IDRS effect; attacker behaviors; attacker strength; cyber physical system reliability; detection strength; insidious attacks; intrusion detection and response system; malicious events; malicious nodes; persistent attacks; physical infrastructure control; physical infrastructure protection; probability model; random attacks; response strength; stochastic Petri nets; Intrusion detection; Mobile nodes; Reliability; Sensor phenomena and characterization; Cyber physical systems; intrusion detection; intrusion response; performance analysis;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2013.2240891
  • Filename
    6423246