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An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics

  • Conference paper
Artificial Immune Systems (ICARIS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5666))

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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.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, UK

    HuiKeng Lau, Iain Bate & Jon Timmis

  2. Department of Electronics, University of York, Heslington, YO10 5DD, UK

    Jon Timmis

  3. School of Engineering and IT, Universiti Malaysia Sabah, Malaysia

    HuiKeng Lau

Authors
  1. HuiKeng Lau
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  2. Iain Bate
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  3. Jon Timmis
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of York, YO10 5DD, Heslington, York, UK

    Paul S. Andrews

  2. Departments of Computer Science and Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

  3. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Nick D. L. Owens  & Andy M. Tyrrell  & 

  4. School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, UK

    Uwe Aickelin

  5. School of Computing, Napier University, 10 Colinton Road, EH10 5DT, Edinburgh, UK

    Emma Hart

  6. Institute of Mathematics, Statistics and Actuarial Science, University of Kent, CT2 7NF, Canterbury, UK

    Andrew Hone

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© 2009 Springer-Verlag Berlin Heidelberg

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Lau, H., Bate, I., Timmis, J. (2009). An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics. In: Andrews, P.S., et al. Artificial Immune Systems. ICARIS 2009. Lecture Notes in Computer Science, vol 5666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03246-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-03246-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03245-5

  • Online ISBN: 978-3-642-03246-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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