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

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.

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Journal:
Applied Intelligence‚ Springer More from this journal
Publication date:
2008-01-01
UUID:
uuid:b83a925f-6820-4be7-b4c6-1717b958d7c3
Local pid:
cs:1047
Deposit date:
2015-03-31

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