Team for Research in
Ubiquitous Secure Technology

Citation
Jia Liyan, Robert J. Thomas, Lang Tong. "On the Nonlinearity Effects on Malicious Data Attack on Power System". To appear in 2012 Power and Energy Society general meeting, July, 2012.

Abstract
There has been a growing literature on the malicious data attack (or data injection attack) on power systems. Most existing work focuses on the DC (linear) model with linear state estimators. This paper examines the effects of nonlinearity in the power systems on the effectiveness of malicious data attack on state estimation and real-time market. It is demonstrated that attack algorithms designed for the DC model may not be effective when they are applied to nonlinear system with nonlinear state estimators. Discussion and experiments results about nonlinearity are provided.

Electronic downloads

• JiaThomasTongPES2012.pdf · application/pdf · 106 kbytes

• HTML

  Jia Liyan, Robert J. Thomas, Lang Tong. <a
  href="http://www.truststc.org/pubs/876.html"
  >On the Nonlinearity Effects on Malicious Data Attack on
  Power System</a>, To appear in 2012 Power and Energy
  Society general meeting, July, 2012.

• Plain text

  Jia Liyan, Robert J. Thomas, Lang Tong. "On the
  Nonlinearity Effects on Malicious Data Attack on Power
  System". To appear in 2012 Power and Energy Society
  general meeting, July, 2012.

• BibTeX

  @inproceedings{LiyanThomasTong12_OnNonlinearityEffectsOnMaliciousDataAttackOnPowerSystem,
      author = {Jia Liyan and Robert J. Thomas and Lang Tong},
      title = {On the Nonlinearity Effects on Malicious Data
                Attack on Power System},
      booktitle = {To appear in 2012 Power and Energy Society general
                meeting},
      month = {July},
      year = {2012},
      abstract = {There has been a growing literature on the
                malicious data attack (or data injection attack)
                on power systems. Most existing work focuses on
                the DC (linear) model with linear state
                estimators. This paper examines the effects of
                nonlinearity in the power systems on the
                effectiveness of malicious data attack on state
                estimation and real-time market. It is
                demonstrated that attack algorithms designed for
                the DC model may not be effective when they are
                applied to nonlinear system with nonlinear state
                estimators. Discussion and experiments results
                about nonlinearity are provided. },
      URL = {http://www.truststc.org/pubs/876.html}
  }
  

Posted by Mary Stewart on 4 Apr 2012.
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