A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network
Joint Authors
Yi, Ping
Li, Wenchao
Wu, Yue
Pan, Li
Li, Jianhua
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The Internet of Things has broad application in military field, commerce, environmental monitoring, and many other fields.
However, the open nature of the information media and the poor deployment environment have brought great risks to the security of wireless sensor networks, seriously restricting the application of wireless sensor network.
Internet of Things composed of wireless sensor network faces security threats mainly from Dos attack, replay attack, integrity attack, false routing information attack, and flooding attack.
In this paper, we proposed a new intrusion detection system based on K-nearest neighbor (K-nearest neighbor, referred to as KNN below) classification algorithm in wireless sensor network.
This system can separateabnormal nodes from normal nodes by observing their abnormal behaviors, and we analyse parameter selection and error rate of the intrusion detection system.
The paper elaborates on the design and implementation of the detection system.
This system has achieved efficient, rapid intrusion detection by improving the wireless ad hoc on-demand distance vector routing protocol (Ad hoc On-Demand Distance the Vector Routing, AODV).
Finally, the test results show that: the system has high detection accuracy and speed, in accordance with the requirement of wireless sensor network intrusion detection.
American Psychological Association (APA)
Li, Wenchao& Yi, Ping& Wu, Yue& Pan, Li& Li, Jianhua. 2014. A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network. Journal of Electrical and Computer Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1040469
Modern Language Association (MLA)
Li, Wenchao…[et al.]. A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network. Journal of Electrical and Computer Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1040469
American Medical Association (AMA)
Li, Wenchao& Yi, Ping& Wu, Yue& Pan, Li& Li, Jianhua. A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network. Journal of Electrical and Computer Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1040469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040469