Industrial Control System Defence: Debugging ICS Maintenance Network Traffic | Zendy

Angela Smith | Zendy; Adam Wedgbury | Zendy; Philippe Biondi | Zendy; Hugh Soulsby | Zendy; Kevin Jones | Zendy

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Industrial Control System Defence: Debugging ICS Maintenance Network Traffic

Author(s) -

Angela Smith,

Adam Wedgbury,

Philippe Biondi,

Hugh Soulsby,

Kevin Jones

Publication year - 2019

Publication title -

electronic workshops in computing

Language(s) - English

Resource type - Conference proceedings

ISSN - 1477-9358

DOI - 10.14236/ewic/icscsr19.2

Subject(s) - debugging , industrial control system , computer science , control (management) , software , computer security , operating system , artificial intelligence

Industrial Control System (ICS) third-party maintenance introduces security risk into an organisation, as access is granted for performance of named maintenance tasks on industrial equipment, but there is currently no fine-grained way to monitor the activity. This paper applies Machine Learning to ICS network traffic, in order to alert operational staff to unauthorised activity. The work describes a method for identifying deviations, by characterising network traffic purpose, and applying software to dissect, learn and monitor maintenance traffic, then presenting results in a chart.

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