Cloud-based autonomic computing framework for securing SCADA systems

Sajid Nazir, Shushma Patel, Dilip Patel

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter proposes an autonomic computing security framework for protecting cloud-based supervisory control and data acquisition (SCADA) systems against cyber threats. Autonomic computing paradigm is based on intelligent computing that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operations. 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 from isolated systems into a complex, highly connected systems requiring constant availability. The migration of such systems from in-house to cloud infrastructures has gradually gained prominence. The deployments over cloud infrastructures have brought new cyber security threats, challenges, and mitigation opportunities. SCADA deployment to cloud makes it imperative to adopt newer architectures and measures that can proactively and autonomously react to an impending threat.
Original languageEnglish
Title of host publicationInnovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence
EditorsKwok Tai Chui , Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao
PublisherIGI Global
Chapter13
Pages276-297
Number of pages22
ISBN (Electronic)9781799830405
ISBN (Print)9781799830382
DOIs
Publication statusPublished - 2020

Keywords

  • autonomic computing framework
  • cloud scada
  • cyber security
  • communications
  • critical infrastructures
  • hybrid cloud

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  • Cite this

    Nazir, S., Patel, S., & Patel, D. (2020). Cloud-based autonomic computing framework for securing SCADA systems. In K. Tai Chui , M. D. Lytras, R. Wen Liu, & M. Zhao (Eds.), Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence (pp. 276-297). IGI Global. https://doi.org/10.4018/978-1-7998-3038-2.ch013