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2010

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

8 years 12 months ago
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 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. Keywords Danger theory
Christian Wallenta, Jungwon Kim, Peter J. Bentley,
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where APIN
Authors Christian Wallenta, Jungwon Kim, Peter J. Bentley, Stephen Hailes
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