• DocumentCode
    22603
  • Title

    Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems

  • Author

    Pasqualetti, Fabio ; Dorfler, Florian ; Bullo, Francesco

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Riverside, Riverside, CA, USA
  • Volume
    35
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    110
  • Lastpage
    127
  • Abstract
    Cyberphysical systems integrate physical processes, computational resources, and communication capabilities. Cyberphysical systems have permeated modern society, becoming prevalent in many domains, including energy production, health care, and telecommunications. Examples of cyberphysical systems include sensor networks, industrial automation systems, and critical infrastructures such as transportation networks, power generation and distribution networks, water and gas distribution networks, and advanced manufacturing systems. The integration of cybertechnologies with physical processes increases system efficiencies and, at the same time, introduces vulnerabilities that undermine the reliability of critical infrastructures. As recently highlighted by the Maroochy water breach in March 2000 [1], multiple recent power blackouts in Brazil [2], the SQL Slammer worm attack on the Davis-Besse nuclear plant in January 2003 [3], the StuxNet computer worm in June 2010 [4], and various industrial security incidents [5], cyberphysical systems are prone to failures and attacks on their physical infrastructure and cyberattacks on their data management and communication layer [6], [7].
  • Keywords
    control engineering computing; optimal control; security of data; Davis-Besse nuclear plant; Maroochy water breach; SQL Slammer worm attack; StuxNet computer worm; control theoretic methods; critical infrastructures; cyberphysical security; cyberphysical system; cybertechnology integration; geometric principles; industrial automation systems; optimal cross-layer resilient control system; sensor networks; Biological system modeling; Computational modeling; Computer crime; Computer security; Generators; Reservoirs;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2014.2364725
  • Filename
    7011011