Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN
Joint Authors
Bai, Hongying
Zhang, Xiaotong
Liu, Fangjie
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-02
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Intrusion detection system (IDS) is a second line of the security mechanism for the wireless sensor network (WSN), and it has a great influence on confidentiality, integrity, and availability.
However, many existing IDS only detect single attack or multiple known attacks.
In this paper, a novel intrusion detection algorithm based on change rates of multiple attributes (CRMA) is proposed, which can detect multiple attacks including known and unknown types simultaneously.
The change rates of multiple attributes for sensor nodes usually reflect the running states of WSN over a period of time.
First, the Observed Change Rate of attributes at different times is obtained by observing multiple attributes of different sensor nodes.
Then, the convex optimization is alternately used to obtain the Normal Change Rate and corresponding weights by minimizing the distance between the Observed Change Rate and the Normal Change Rate of each attribute.
Finally, the WSN is considered to be attacked when the weighted deviation of the Observed Change Rate and Normal Change Rate is beyond the corresponding threshold.
Experimental results show that the CRMA can detect multiple attacks including known and unknown types simultaneously and has a fast convergence rate.
The average true positive rates (TPR) of CRMA are high, and the average false positive rates (FPR) of CRMA are low.
The detection performance of CRMA is superior to that of the ARMA and NeTMids algorithms.
American Psychological Association (APA)
Bai, Hongying& Zhang, Xiaotong& Liu, Fangjie. 2020. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
Modern Language Association (MLA)
Bai, Hongying…[et al.]. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
American Medical Association (AMA)
Bai, Hongying& Zhang, Xiaotong& Liu, Fangjie. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214946