Smart Grid Tamper Detection Using Learned Event Patterns View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

William L. Sousan , Qiuming Zhu , Robin Gandhi , William Mahoney

ABSTRACT

The functionalities of a Smart Grid include the use of a network of power management devices to control the demand-based power distributions, dynamic pricing, reliable power quality monitoring, self-healing, and other customer services within the grid. However, by the very nature of these functions, there arises a great need for system security as the network connection offers would-be hostile attackers an ideal target. A protection mechanism that is adaptive and forward looking for the types of attacks that are unaccounted in terms of the latent system vulnerabilities is explored in this chapter. The method of learning normal operations and monitoring for abnormal operations has the potential for providing increased security and tamper detection within the grid. This chapter reviews present day state-of-the-art behavior monitoring and anomaly detection methods along with a presentation of a new method for learning event patterns and detecting anomalies for the purposes of tamper detection. More... »

PAGES

99-115

References to SciGraph publications

  • 2007. Intrusion Detection and Event Monitoring in SCADA Networks in CRITICAL INFRASTRUCTURE PROTECTION
  • Book

    TITLE

    Optimization and Security Challenges in Smart Power Grids

    ISBN

    978-3-642-38133-1
    978-3-642-38134-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5

    DOI

    http://dx.doi.org/10.1007/978-3-642-38134-8_5

    DIMENSIONS

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