Wallenta, C and Kim, J and Bentley, PJ and Hailes, S (2010) Detecting interest cache poisoning in sensor networks using an artificial immune algorithm. APPL INTELL , 32 (1) 1 - 26. 10.1007/s10489-008-0132-0.
Full text not available from this repository.
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.
| Type: | Article |
|---|---|
| Title: | Detecting interest cache poisoning in sensor networks using an artificial immune algorithm |
| DOI: | 10.1007/s10489-008-0132-0 |
| 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 > Computer Science |
Archive Staff Only: edit this record