Citation
Alvaro Cardenas. "Short and Long-Term Research Challenges for Protecting Critical Infrastructure Systems". Talk or presentation, October, 2013.

Abstract
We have several lines of research for securing our critical infrastructures. One line of research tries to expand traditional security mechanisms with control-theoretic algorithms to prevent or detect and respond to attacks targeting the manipulation of sensor and actuators of control systems. Another line of research explores the use of Big Data analytics for anomaly detection in smart grid networks. We are also working on risk-assessment and incentives for asset owners to invest in protecting the smart grid and other critical infrastructures. Finally, big data in the smart grid, also raises the issue of consumer privacy, as consumer behavior will be available at unprecedented levels of granularity. We are working on privacy-preserving data collection mechanisms.

Electronic downloads

• cardenas_UCBerkeley2013.pdf · application/pdf · 10237 kbytes

• HTML

  Alvaro Cardenas. <a
  href="http://chess.eecs.berkeley.edu/pubs/1019.html"
  ><i>Short and Long-Term Research Challenges for
  Protecting Critical Infrastructure
  Systems</i></a>, Talk or presentation,  October,
  2013.

• Plain text

  Alvaro Cardenas. "Short and Long-Term Research
  Challenges for Protecting Critical Infrastructure
  Systems". Talk or presentation,  October, 2013.

• BibTeX

  @presentation{Cardenas13_ShortLongTermResearchChallengesForProtectingCritical,
      author = {Alvaro Cardenas},
      title = {Short and Long-Term Research Challenges for
                Protecting Critical Infrastructure Systems},
      month = {October},
      year = {2013},
      abstract = {We have several lines of research for securing our
                critical infrastructures. One line of research
                tries to expand traditional security mechanisms
                with control-theoretic algorithms to prevent or
                detect and respond to attacks targeting the
                manipulation of sensor and actuators of control
                systems. Another line of research explores the use
                of Big Data analytics for anomaly detection in
                smart grid networks. We are also working on
                risk-assessment and incentives for asset owners to
                invest in protecting the smart grid and other
                critical infrastructures. Finally, big data in the
                smart grid, also raises the issue of consumer
                privacy, as consumer behavior will be available at
                unprecedented levels of granularity. We are
                working on privacy-preserving data collection
                mechanisms. },
      URL = {http://chess.eecs.berkeley.edu/pubs/1019.html}
  }
  

Posted by Armin Wasicek on 4 Oct 2013.
Groups: chessworkshop
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