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