Autonomic computing architecture for SCADA cyber security

Sajid Nazir, Shushma Patel, Dilip Patel

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)
    225 Downloads (Pure)


    Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation networks, large manufacturing, business and health facilities, power generation, and distribution networks. The SCADA systems have evolved into a complex, highly connected system requiring high availability. On the other hand, cyber threats to these infrastructures have increasingly become more sophisticated, extensive and numerous. This highlights the need for newer measures that can proactively and autonomously react to an impending threat. This article proposes a SCADA system framework to leverage autonomic computing elements in the architecture for coping with the current challenges and threats of cyber security.
    Original languageEnglish
    Pages (from-to)66-79
    Number of pages14
    JournalInternational Journal of Cognitive Informatics and Natural Intelligence
    Issue number4
    Publication statusPublished - 31 Dec 2017


    • Autonomic Computing
    • Cognitive Computing
    • Critical Infrastructures
    • Cyber Attacks
    • Industrial Applications
    • SCADA Security


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