WANG Xin, ZHANG Yu, JIANG Hua, et al. Intrusion detection system model for WSNs based on danger theory and DCA[J]. 2014, 33(4): 102-105. DOI: 10.13873/j.1000-97872014.04.033.
Aiming at the problem that WSNs is prone to different attacks due to his own features and traditional passive security mechanism can’t fully solve this problem
in order to improve the current security situation
design a new intrusion detection system( IDS) model inspired in artificial immune system( AIS). It uses danger theory and improved dendritic cell algorithm( DCA) applied in WSNs
which make nodes to execute different function and collaborate to identify intrusion
and strengthen robustness of WSNs. Simulation results shows that compared with self-nonself( SNS) model
the new IDS model is better in detecting capacity and energy consumption.
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references
Anomaly-based network intrusion detection: Techniques, systems and challenges [J] . P. García-Teodoro,J. Díaz-Verdejo,G. Maciá-Fernández,E. Vázquez. Computers & Security . 2008 (1)
Detecting interest cache poisoning in sensor networks using an artificial immune algorithm [J] . Christian Wallenta,Jungwon Kim,Peter J. Bentley,Stephen Hailes. Applied Intelligence . 2010 (1)
Tolerance, Danger, and the Extended Family [J] . P Matzinger. Annual Review of Immunology . 1994