Detecting Interest Cache Poisoning in Sensor Networks using an Artificial Immune Algorithm

Detecting Interest Cache Poisoning in Sensor Networks using an Artificial Immune Algorithm

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...

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Auteurs principaux: Kim, P, Hailes, S
Format: Journal article
Publié: 2008
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Résumé: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.

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