A Rate-and-Trust-Based Node Selection Model for Block Transmission in Blockchain Networks

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...

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Published inIEEE internet of things journal Vol. 10; no. 2; pp. 1605 - 1616
Main Authors Zhang, Peiyun, Tao, YanHao, Zhao, QingLin, Zhou, MengChu
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 15.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Online AccessGet full text
ISSN2327-4662
2327-4662
DOI10.1109/JIOT.2022.3210197

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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.
AbstractList 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.
Author Tao, YanHao
Zhou, MengChu
Zhang, Peiyun
Zhao, QingLin
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Snippet Blockchain-enabled Internet of Things (IoT) has been receiving growing attention. However, IoT nodes are usually resources heterogeneous and subject to...
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SubjectTerms Bandwidth
Behavioral sciences
Block transmission
Blockchain
Blockchains
Cryptography
Delays
Internet of Things
Internet of Things (IoT)
Network latency
node selection
Nodes
Optimization
Peer-to-peer computing
Search algorithms
Security
trust
Trustworthiness
Verification
Title A Rate-and-Trust-Based Node Selection Model for Block Transmission in Blockchain Networks
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