Detecting interest cache poisoning in sensor networks using an artificial immune algorithm.
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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.
|Title:||Detecting interest cache poisoning in sensor networks using an artificial immune algorithm|
|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
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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