Demonstrating Danger Theory based threat detection for robotic manufacture protection

V. Degeler, Richard French, Kevin Jones

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

The aid of automated guided vehicles (AGV) is indispensable for complex manufacturing processes. However, a cyber attack on an AGV or an AGV control centre can easily lead o considerable direct physical damage and further indirect costs due to disruption of manufacturing process. Previous incidents show that most damage comes from previously unseen threats, hose that cannot be prevented by detecting known attack signatures. In this demo, we show an approach to protect industrial process of robotic manufacture facilities from cyber attacks based on Artificial Immune Systems paradigm using Danger Theory.
Original languageEnglish
Title of host publicationIntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference
PublisherIEEE
Pages283-284
ISBN (Print)978-1-4673-7606-8
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventSAI Intelligent Systems Conference 2015 - London, United Kingdom
Duration: 10-Nov-201511-Nov-2015

Conference

ConferenceSAI Intelligent Systems Conference 2015
Country/TerritoryUnited Kingdom
CityLondon
Period10/11/201511/11/2015

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