• DocumentCode
    1372934
  • Title

    An Early Warning System Based on Reputation for Energy Control Systems

  • Author

    Alcaraz, Cristina ; Fernandez-Gago, Carmen ; Lopez, Javier

  • Author_Institution
    Comput. Sci. Dept., Univ. of Malaga, Malaga, Spain
  • Volume
    2
  • Issue
    4
  • fYear
    2011
  • Firstpage
    827
  • Lastpage
    834
  • Abstract
    Most of energy control or Supervisory Control and Data Acquisition (SCADA) systems are very dependent on advanced technologies and on traditional security mechanisms for protecting the a system against anomalous events. Security mechanisms are not enough to be used in critical systems, since they can only detect anomalous events occurring at a certain moment in time. For this reason it becomes of paramount importance the usage of intelligent systems with capability for preventing anomalous situations and reacting against them on time. This type of systems are, for example, early warning systems (EWS). In this paper, we propose an EWS based on Wireless Sensor Networks (WSNs) (under the ISA100.11a standard) and reputation for controling network behavior. The WSN are organized into clusters where a cluster head (CH) is designated. This CH will contain a Reputation Manager Module. The usability of this approach is also analyzed considering a smart grid scenario.
  • Keywords
    SCADA systems; alarm systems; power control; power system security; smart power grids; wireless sensor networks; SCADA system; anomalous situation prevention; cluster head; early warning system; energy control system; intelligent system; network behavior control; reputation manager module; security mechanism; smart grid scenario; supervisory control and data acquisition system; wireless sensor networks based EWS; Alarm systems; Logic gates; Random access memory; SCADA systems; Wireless sensor networks; Early warning systems; SCADA systems; reputation; smart grid; wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2161498
  • Filename
    6074978