![](/images/graphics-bg.png)
Low Complexity Signed Response Based Sybil Attack Detection Mechanism in Wireless Sensor Networks
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Security is always a major concern in wireless sensor networks (WSNs).
Identity based attacks such as spoofing and sybil not only compromise the network but also slow down its performance.
This paper proposes a low complexity sybil attack detection scheme, that is, based on signed response (SRES) authentication mechanism developed for Global System for Mobile (GSM) communications.
A probabilistic model is presented which analyzes the proposed authentication mechanism for its probability of sybil attack.
The paper also presents a simulation based comparative analysis of the existing sybil attack schemes with respect to the proposed scheme.
It is observed that the proposed sybil detection scheme exhibits lesser computational cost and power consumption as compared to the existing schemes for the same sybil detection performance.
American Psychological Association (APA)
Saud Khan, M.& Khan, Noor M.. 2016. Low Complexity Signed Response Based Sybil Attack Detection Mechanism in Wireless Sensor Networks. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110723
Modern Language Association (MLA)
Saud Khan, M.& Khan, Noor M.. Low Complexity Signed Response Based Sybil Attack Detection Mechanism in Wireless Sensor Networks. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110723
American Medical Association (AMA)
Saud Khan, M.& Khan, Noor M.. Low Complexity Signed Response Based Sybil Attack Detection Mechanism in Wireless Sensor Networks. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110723
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110723