A Trust Secure Data Aggregation Model with Multiple Attributes for WSNs
Authors: 
Zhaowei Li, Na Dang, Wenshuo Ma, Xiaowu LiuAuthors Info & Claims
Zhaowei Li, Na Dang, Wenshuo Ma, Xiaowu LiuAuthors Info & ClaimsPages 526 - 534
Abstract
Wireless Sensor Networks (WSNs) are composed of many resource-limited nodes which may be laid in an unattended way. As a result, the sensing data in the transmission mechanism are sensitive to attacks launched by adversaries. In this paper, we propose a novel Trust Secure Data Aggregation Model (TSDAM) with multiple attributes for WSNs. Firstly, we calculate the direct trust based on the data accuracy, the energy consumption and the forwarding behavior of nodes. Secondly, the indirect trust is evaluated according to the communication behavior and the recommended credibility of neighbor nodes. Finally, the comprehensive trust is generated depending on various trusts, such as the direct and the indirect trust. Different from other mechanisms, TSDAM also selects the trust path according to the self-recommendation which is an attribute to indicate the willingness whether a node hope to participate in the communication process or not. The simulations show that TSDAM not only improves the reliability of the relay node, but also promotes the efficiency and accuracy of data aggregation.
References
[1]
Rathore, H., Badarla, V., Shit, S.: Consensus-aware sociopsychological trust model for wireless sensor networks. J. Netw. Comput. Appl. 62, 75–87 (2016)
[2]
She W, Liu Q, Tian Z, Chen JS, Wang B, and Liu W Blockchain trust model for malicious node detection in wireless sensor networks IEEE Access 2019 7 38947-38956
[3]
Ram Prabha V and Latha P Enhanced multi-attribute trust protocol for malicious node detection in wireless sensor networks Sādhanā 2017 42 2 143-151
[4]
Chen Z, He M, Liang W, and Chen K Trust-aware and low energy consumption security topology protocol of wireless sensor network J. Sens 2015 2015 1-10
[5]
Hu Z, Bie Y, and Zhao H Trusted tree-based trust management scheme for secure routing in wireless sensor networks Int. J. Distrib. Sens. Netw. 2015 11 12 1-13
[6]
Gong P, Chen TM, and Xu Q ETARP: an energy efficient trust-aware routing protocol for wireless sensor networks J. Sens. 2015 2015 1-10
[7]
Talbi S, Koudil M, Bouabdallah A, and Benatchba K Adaptive and dual data-communication trust scheme for clustered wireless sensor networks Telecommun. Syst. 2016 65 4 605-619
[8]
Jan MA and Nanda P A Sybil attack detection scheme for a forest wildfire monitoring application Futur. Gener. Comput. Syst. 2018 80 613-626
[9]
Qin D, Yang S, Jia S, Zhang Y, Ma J, and Ding Q Research on trust sensing based secure routing mechanism for wireless sensor network IEEE Access 2017 5 9599-9609
[10]
Li X, Zhou F, and Du J LDTS: a lightweight and dependable trust system for clustered wireless sensor networks IEEE Trans. Inf. Forensics Secur. 2013 8 6 924-935
[11]
Sun B and Li D A comprehensive trust-aware routing protocol with multi-attributes for WSNs IEEE Access 2017 6 4725-4741
[12]
Anand JV Trust-value based wireless sensor network using compressed sensing J. Electron. 2020 2 02 88-95
[13]
Busi Reddy, V., Negi, A., Venkataraman, S.: Communication and data trust for wireless sensor networks using D-S theory. IEEE Sens. J. 17(12), 3921–3929 (2017)
[14]
Gu, X., Wang, J., Qiu, J.: Self-recommendation mechanism in trust calculation among nodes in WSN. Wireless Pers. Commun. 97(3), 3705–3723 (2017)
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Information & Contributors
Information
Published In
Nov 2022
686 pages
ISBN:978-3-031-19207-4
DOI:10.1007/978-3-031-19208-1
- Editors:
- Lei Wang,
- Michael Segal,
- Jenhui Chen,
- Tie Qiu
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 24 November 2022
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