A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks
Joint Authors
Xin, Yang
Zhu, Hongliang
Zhang, Zhihua
Luo, Shoushan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-29
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Wireless sensor networks (WSNs) are facing the threats of clone attacks which can launch a variety of other attacks to control or damage the networks.
In this paper, a novel distributed clone detection protocol with low resource expenditure is proposed for randomly deployed networks.
The method consisting of witness chain establishment and clone detection route generation is implemented in the nonhotspot area of the network organized in a ring structure, which balances the resource consumption in the whole network.
The witness chains and detection routes are in the centrifugal direction and circumferential direction, respectively, which can ensure the encounter of witnesses and detection routes of nodes with the same ID but different positions to detect clone attacks.
Theoretical analysis demonstrates that the detection probability can be up to 1 with reliable witnesses.
Moreover, both theoretical analysis and simulation results manifest that the proposed method can achieve better network lifetime and storage requirements with low resource expenditure and outperforms most methods in the literature.
American Psychological Association (APA)
Zhang, Zhihua& Luo, Shoushan& Zhu, Hongliang& Xin, Yang. 2018. A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks. Journal of Sensors،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1201475
Modern Language Association (MLA)
Zhang, Zhihua…[et al.]. A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks. Journal of Sensors No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1201475
American Medical Association (AMA)
Zhang, Zhihua& Luo, Shoushan& Zhu, Hongliang& Xin, Yang. A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1201475
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201475