• DocumentCode
    3402572
  • Title

    A combined discriminative and generative behavior model for cyber physical system defense

  • Author

    McCusker, Owen ; Brunza, Scott ; Dasgupta, Dipankar ; Carvalho, Marco ; Vora, Sujal

  • Author_Institution
    Guardian Services, Sonalysts, Inc., Waterford, CT, USA
  • fYear
    2013
  • fDate
    13-15 Aug. 2013
  • Firstpage
    144
  • Lastpage
    149
  • Abstract
    In this position paper we explore the use of behavior models as an enabling methodology in the promotion of a more holistic understanding of CPS that can bridge both cyber and physical domains. Thus, we investigate the use of aggregate behavior analysis techniques combined in both cyber and physical domains. Ultimately, our work focuses on the development of a cyber-physical behavior model that leverages behavior aggregation promoting the creation of a long-view sense-making capability driven by both cyber and physical observations. We look to the use of this approach to establish the ability to anticipate malicious activity in CPS, rather that react.
  • Keywords
    health care; security of data; ubiquitous computing; CPS; aggregate behavior analysis techniques; cyber observations; cyber physical system defense; cyber-physical behavior model; generative behavior model; long-view sense-making capability; malicious activity; pervasive healthcare monitoring systems; physical observations; Aggregates; Computational modeling; Context modeling; Data models; Medical services; Prognostics and health management; Safety; Behavior model; aggregate behaviors; behavior graphs; cyber physical; healthcare; machine learning; patient safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Resilient Control Systems (ISRCS), 2013 6th International Symposium on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/ISRCS.2013.6623767
  • Filename
    6623767