A Rate-and-Trust-Based Node Selection Model for Block Transmission in Blockchain Networks
Document Type
Article
Publication Date
1-15-2023
Abstract
Blockchain-enabled Internet of Things (IoT) has been receiving growing attention. However, IoT nodes are usually resources heterogeneous and subject to malicious attacks, such as the intentional delay of block verification and the transmission of invalid blocks. As a result, a random node-selection model for block transmission may lead to a low transmission rate and serious security risk. To solve the problem, this article proposes a rate-and-trust-based node selection model for block transmission. In our model, we calculate the block transmission rate of a node by the latency and connectivity among nodes and its trust value by its historical transmission and verification behaviors. On this basis, we propose a PageRank-based optimization algorithm for node selection that makes a tradeoff between the transmission rate and the security risk. Extensive experimental results show that the proposed model can achieve better performance than the state-of-the-art methods, including Bitcoin network, Ethereum network, and BlockP2P-EP protocol.
Identifier
85147188156 (Scopus)
Publication Title
IEEE Internet of Things Journal
External Full Text Location
https://doi.org/10.1109/JIOT.2022.3210197
e-ISSN
23274662
First Page
1605
Last Page
1616
Issue
2
Volume
10
Recommended Citation
Zhang, Peiyun; Tao, Yan Hao; Zhao, Qing Lin; and Zhou, Meng Chu, "A Rate-and-Trust-Based Node Selection Model for Block Transmission in Blockchain Networks" (2023). Faculty Publications. 1992.
https://digitalcommons.njit.edu/fac_pubs/1992