Title
Intrusion Detection System for Wireless Sensor Networks Using Danger Theory Immune-Inspired Techniques.
Abstract
An IDS framework inspired in the Human Immune System to be applied in the wireless sensor network context is proposed. It uses an improved decentralized and customized version of the Dendritic Cell Algorithm, which allows nodes to monitor their neighborhood and collaborate to identify an intruder. The work was implemented and tested both in simulation and in real sensor platform scenarios, comparing them to each other and was also compared to a Negative Selection Theory implementation in order to demonstrate its efficiency in detecting a denial-of-sleep attack and in energy consumption. Results demonstrated the success of the proposal.
Year
DOI
Venue
2013
10.1007/s10776-012-0179-z
IJWIN
Keywords
Field
DocType
Wireless sensor networks, Intrusion Detection System, Artificial immune inspired system, Denial-of-sleep attack
Key distribution in wireless sensor networks,Dendritic cell algorithm,Computer science,Computer network,Real-time computing,Energy consumption,Intrusion detection system,Wireless sensor network
Journal
Volume
Issue
ISSN
20
1
1572-8129
Citations 
PageRank 
References 
17
0.62
13
Authors
9