1. Intrusion Detection in Robotic Swarms
- Author
-
Ian Sargeant and Allan Tomlinson
- Subjects
Computer science ,Anomaly (natural sciences) ,ComputingMethodologies_MISCELLANEOUS ,Real-time computing ,MathematicsofComputing_NUMERICALANALYSIS ,Swarm behaviour ,020206 networking & telecommunications ,02 engineering and technology ,Intrusion detection system ,ComputingMethodologies_ARTIFICIALINTELLIGENCE ,01 natural sciences ,Signature (logic) ,010104 statistics & probability ,0202 electrical engineering, electronic engineering, information engineering ,0101 mathematics - Abstract
Most research in robotic swarms assumes a benign operational environment for the swarm. This paper follows on from previous work on attacks on a robotic swarms and presents an analysis of how Intrusion Detection Systems (IDS) may be applied to protect robotic swarms. This paper shows that due to the characteristics of a swarm, anomaly-based intrusion detection techniques cannot be applied. Signature based techniques however can be used. The idea of an IDS Swarm is introduced and it is demonstrated that a signature based IDS can used to protect a swarm in a hostile environment.
- Published
- 2019
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