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

Joint Authors

Lloret, Jaime
Alrajeh, Nabil Ali

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2013, Issue - (31 Dec. 2013), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-10-20

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

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).

American Psychological Association (APA)

Alrajeh, Nabil Ali& Lloret, Jaime. 2013. Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-464976

Modern Language Association (MLA)

Alrajeh, Nabil Ali& Lloret, Jaime. Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-464976

American Medical Association (AMA)

Alrajeh, Nabil Ali& Lloret, Jaime. Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-464976

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-464976