Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks

被引：33
|
作者：
Alrajeh, Nabil Ali [1 ]
Lloret, J. [2 ]
机构：
[1] King Saud Univ, Coll Appl Med Sci, Biomed Technol Dept, Riyadh 11633, Saudi Arabia
[2] Univ Politecn Valencia, Dept Commun, Valencia 46022, Spain
来源：
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2013年
关键词：
D O I：
10.1155/2013/351047
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Intrusion detection system (IDS) is regarded as the second line of defense against network anomalies and threats. IDS plays an important role in network security. There are many techniques which are used to design IDSs for specific scenario and applications. Artificial intelligence techniques are widely used for threats detection. This paper presents a critical study on genetic algorithm, artificial immune, and artificial neural network (ANN) based IDSs techniques used in wireless sensor network (WSN).
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页数：6
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