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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Immuno-inspired Knowledge Management for Ad Hoc Wireless Networks
verfasst von : Martin Drozda, Sven Schaust, Helena Szczerbicka
Erschienen in: Smart Information and Knowledge Management
Verlag: Springer Berlin Heidelberg
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During the last years approaches inspired by biological immune systems showed promising results in the field of misbehavior detection and classification of data in general. In this chapter we give a comprehensive overview on the recent developments in the area of biologically inspired classification approaches of possible threats and misbehavior, especially in the area of ad hoc networks. We discuss numerous immuno related approaches, such as negative selection, B-cell cloning, Dendritic cell algorithm or Danger signals. We review present approaches and address their applicability to ad hoc networks. We further discuss challenges in translating functionality of the biological immune system to technical systems.