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A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks
Joint Authors
Qu, Hongchun
Lei, Libiao
Tang, Xiaoming
Wang, Ping
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
For resource-constrained wireless sensor networks (WSNs), designing a lightweight intrusion detection technology has been a hot and difficult issue.
In this paper, we proposed a lightweight intrusion detection method that was able to directly map the network status into sensor monitoring data received by base station, so that base station can sense the abnormal changes in the network.
Our method is highlighted by the fusion of fuzzy c-means algorithm, one-class SVM, and sliding window procedure to effectively differentiate network attacks from abnormal data.
Finally, the proposed method was tested on the wireless sensor network simulation software EXata and in real applications.
The results showed that the intrusion detection method in this paper could effectively identify whether the abnormal data came from a network attack or just a noise.
In addition, extra energy consumption can be avoided in all sensor monitoring nodes of the sensor network where our method has been deployed.
American Psychological Association (APA)
Qu, Hongchun& Lei, Libiao& Tang, Xiaoming& Wang, Ping. 2018. A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks. Advances in Fuzzy Systems،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-986262
Modern Language Association (MLA)
Qu, Hongchun…[et al.]. A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks. Advances in Fuzzy Systems No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-986262
American Medical Association (AMA)
Qu, Hongchun& Lei, Libiao& Tang, Xiaoming& Wang, Ping. A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks. Advances in Fuzzy Systems. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-986262
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-986262