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

Wallenta, C; Kim, J; Bentley, PJ; Hailes, S; (2010) Detecting interest cache poisoning in sensor networks using an artificial immune algorithm. APPL INTELL , 32 (1) 1 - 26. 10.1007/s10489-008-0132-0.

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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.

Type: Article
Title: Detecting interest cache poisoning in sensor networks using an artificial immune algorithm
DOI: 10.1007/s10489-008-0132-0
Keywords: Danger theory, Artificial immune systems, Sensor networks, Interest cache poisoning attack, ANOMALY DETECTION, INNATE IMMUNITY, DENDRITIC CELLS, DANGER
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/171563
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