Detecting interest cache poisoning in sensor networks using an artificial immune algorithm

Authors:
Christian Wallenta;Jungwon Kim;Peter J. Bentley;Stephen Hailes
Affiliations:
Department of Computer Science, University College London, London, UK WC1E 6BT;Department of Computer Science, University College London, London, UK WC1E 6BT;Department of Computer Science, University College London, London, UK WC1E 6BT;Department of Computer Science, University College London, London, UK WC1E 6BT
Venue:
Applied Intelligence
Year:
2010

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Abstract

The objective of this paper is to investigate how a Danger Theory based Artificial Immune System--in particular the Dendritic Cell Algorithm (DCA) can detect an attack on a sensor network. The method is validated using two separate implementations: a simulation using J-sim and an implementation for the T-mote Sky sensor using TinyOS. This paper also introduces a new sensor network attack called an Interest Cache Poisoning Attack and investigates how the DCA can be applied to detect this attack in a series of experiments.