An immuno-engineering approach for anomaly detection in swarm robotics

HuiKeng, Lau and Lain, J. Bate and J., Timmis (2009) An immuno-engineering approach for anomaly detection in swarm robotics. In: 8th International Conference on Artificial Immune Systems (ICARIS) , 9-12 August 2009, New York, USA.

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Abstract

In this paper, we present the first stage of our research strategy to develop an immune-inspired solution for detecting anomalies in a foraging swarm robotic system with an immuno-engineering approach. Within immuno-engineering, the initial stage of our research involves the understanding of problem domain, namely anomaly detection, in a foraging swarm robotic system deployed in dynamic environments. We present a systematically derived set of activities for this stage derived with Goal Structuring Notation and results of experiments carried out to establish the time-varying behaviour and how anomalies manifest themselves. Our future work will then be used to select and tailor an appropriate AIS algorithm to provide an effective and efficient means of anomaly detection. © 2009 Springer.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Foraging, Immuno-engineering, Swarm robotics
Subjects: ?? TJ210.2-211.47 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 25 Mar 2011 07:20
Last Modified: 25 Mar 2011 07:20
URI: http://eprints.ums.edu.my/id/eprint/2575

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