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

• Type: Journal
• Year: 2010
• Where: APIN
• Authors: Christian Wallenta, Jungwon Kim, Peter J. Bentley, Stephen Hailes
• Keywords: APIN 2010, Artificial Immune Systems, Danger Theory, Sensor Networks