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AuthorJiang, Jinfang
AuthorZhu, Xinyu
AuthorHan, Guangjie
AuthorGuizani, Mohsen
AuthorShu, Lei
Available date2022-11-29T08:43:26Z
Publication Date2020-08-01
Publication NameIEEE Transactions on Vehicular Technology
Identifierhttp://dx.doi.org/10.1109/TVT.2020.2999566
CitationJiang, J., Zhu, X., Han, G., Guizani, M., & Shu, L. (2020). A dynamic trust evaluation and update mechanism based on C4. 5 decision tree in underwater wireless sensor networks. IEEE Transactions on Vehicular Technology, 69(8), 9031-9040.‏
ISSN00189545
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090137318&origin=inward
URIhttp://hdl.handle.net/10576/36763
AbstractAt present, Underwater Wireless Sensor Networks (UWSNs) have been widely used in enormous applications, and simultaneously face many security threats. The trust management mechanism plays an important role in protecting network security. Many theories, e.g., subjective logic, Bayesian, cloud model, entropy theory, evidence theory, etc., have been adopted to evaluate the node trust of wireless sensor networks. However, due to the unique characteristics of the underwater dynamic environment, the existing trust mechanisms used in traditional networks (such as P2P networks, Ad-hoc networks, etc.) cannot be directly used in UWSNs. Therefore, this paper proposes a new trust evaluation and update mechanism for underwater wireless sensor networks based on the C4.5 decision tree algorithm (TEUC). In the TEUC, trust evidences are first collected including data-based, link-based and node-based trust evidences. Then, the collected trust evidences are used to train the C4.5 decision tree. In addition, the reward and penalty factors are defined to update trust based on the sliding time window. Finally, simulation results demonstrate that the proposed algorithm outperforms the traditional ones in a dynamic network environment in terms of malicious node detection and energy consumption.
SponsorThis work was supported in part by the National Key Research and Development Program, under Grant 2018YFC0407900, in part by the Jiangsu Provincial Six Talent Peaks Project No. XYDXX-012, in part by the National Natural Science Foundation of China under Grant 61971206, and in part by the Open Fund of State Key Laboratory of Acoustics under Grant SKLA201901.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectC4.5 decision tree
trust evaluation
trust update
UWSNs
TitleA Dynamic Trust Evaluation and Update Mechanism Based on C4.5 Decision Tree in Underwater Wireless Sensor Networks
TypeArticle
Pagination9031-9040
Issue Number8
Volume Number69
dc.accessType Abstract Only


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