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.
|Title of host publication||IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference|
|Publication status||Published - 2015|
|Event||SAI Intelligent Systems Conference 2015 - London, United Kingdom|
Duration: 10-Nov-2015 → 11-Nov-2015
|Conference||SAI Intelligent Systems Conference 2015|
|Period||10/11/2015 → 11/11/2015|