• DocumentCode
    3422778
  • Title

    Intelligent risk detection and analysis tools for critical infrastructure protection

  • Author

    Yasakethu, S.L.P. ; Jiang, Jianliang ; Graziano, A.

  • Author_Institution
    Dept. of Comput., Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • fDate
    1-4 July 2013
  • Firstpage
    52
  • Lastpage
    59
  • Abstract
    The protection of the national infrastructures from cyber-attacks is one of the main issues for national and international security. In this article we describe a new European Framework-7 (FP7) funded research project, CockpicCI, and introduce intelligent rick detection, analysis and protection techniques for Critical Infrastructures (CI). The paradox is that CIs massively rely on the newest interconnected and vulnerable, Information and Communication Technology (ICT), while the control equipment, legacy software/hardware, is typically old. Such a combination of factors may lead to very dangerous situations, exposing systems to a wide variety of attacks. To overcome such threats, the CockpitCI project combines machine learning techniques with ICT technologies to produce advance intrusion detection and reaction tools to provide intelligence to field equipment. This will allow the field equipment to perform local decisions in order to self-identify and self-react to abnormal situations introduced by cyber-attacks.
  • Keywords
    critical infrastructures; risk analysis; security of data; CI; CockpicCI; European framework-7 funded research project; FP7; ICT technologies; abnormal situations; critical infrastructure protection; cyber-attacks; field equipment; information and communication technology; intelligent risk analysis tools; intelligent risk detection; international security; intrusion detection; intrusion reaction tools; national infrastructures; national security; Critical infrastructures; Cyber-security; Intrusion detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON, 2013 IEEE
  • Conference_Location
    Zagreb
  • Print_ISBN
    978-1-4673-2230-0
  • Type

    conf

  • DOI
    10.1109/EUROCON.2013.6624965
  • Filename
    6624965