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

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).

• Publication year

  2013

• Venue

  Int. J. Distributed Sens. Networks

• Publication date

  2013-10-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1155/2013/351047
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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