- Title
- Coding observer nodes for sybil attacks detection in mobile wireless sensor networks
- Creator
- Sassani Sarrafpour, Bahman; Alomirah, Alomirah; Pang, Shaning; Sarrafpour, Soshian
- Date
- 2021
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188503
- Identifier
- vital:17280
- Identifier
-
https://doi.org/10.1109/EUC53437.2021.00021
- Identifier
- ISBN:9781665400367 (ISBN)
- Abstract
- Sybil attack is one of the most common and serious attacks in wireless sensor networks, in which a malicious node illegitimately forges several (fake) identities. These fake copies confuse and collapse the network. Sybil attack causes too many threats to the routing algorithm, data aggregation, fair resource allocation, voting system, and misbehavior detection. In this paper, we propose a new lightweight algorithm for detecting the Sybil attack in mobile wireless sensor networks using observer nodes. Observer nodes are normal, trustful nodes which have been initially programmed to observe the network and report malicious behaviors. An observer node counts the number of times a node has appeared as a common neighbor between itself and its neighbors. After collecting some information about its neighbors, each observer node considers the nodes whose counters are above a threshold as critical, and nodes having all critical nodes in their neighborhood are considered suspicious nodes. The results show that the true detection rate of the proposed algorithm is 98.1%, and its false detection rate is 0.5%, while similar algorithms could not achieve better than 95.4% and 1.2% for these metrics, respectively. In addition, the proposed algorithm outperforms other algorithms in terms of overhead. © 2021 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 19th IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2021, Shenyang, China. 20-22 October 2021, Proceedings - 2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing, EUC 2021 p. 87-94
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2021 IEEE
- Subject
- Cybersecurity; MEMS; Observer node; Security; Sybil attack; Wireless Sensor Network
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