ReCaLS-in-DLT: resilient consensus algorithm for leader selection in distributed ledger technology

Distributed ledger technology (DLT) is most widely used in many areas for example healthcare, finance, public welfare, and Internet of Things (IoT) to provide security and effi- ciency. The consensus algorithm is a key component of DLT-based networks that plays a vital role in maintaining the perfor...

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Vydáno v:	Cluster computing Ročník 28; číslo 5; s. 310
Hlavní autoři:	Hussain, Munir, Mehmood, Amjad, Khan, Muhammad Altaf, Wang, Huihui, Song, Houbing Herbert, Maple, Carsten
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.10.2025 Springer Nature B.V
Témata:	Algorithms Authentication Blockchain Computer Communication Networks Computer Science Cybersecurity Data integrity Digital currencies Distributed ledger Efficiency Energy consumption Fault tolerance Internet of Things Network latency Nodes Operating Systems Performance evaluation Processor Architectures Statistical analysis Proof-based Vote-based DLT Trust Hyperledger fabric Consensus algorithm
ISSN:	1386-7857, 1573-7543
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Abstract	Distributed ledger technology (DLT) is most widely used in many areas for example healthcare, finance, public welfare, and Internet of Things (IoT) to provide security and effi- ciency. The consensus algorithm is a key component of DLT-based networks that plays a vital role in maintaining the performance of the network and ensuring security. We proposed a consensus algorithm that selects a leader or miner node based on a lucky number for block mining. The proposed algorithm is not only scalable but also enhances security during the consensus process in the presence of less trustworthy nodes, the selected miner node is re-authenticated by the trusted authority before adding a block in the ledger. Apart from the re-authentication process, the trust level of the miner node is also checked. Statistical analysis is performed to prove the security of the proposed algorithm. The results demonstrate that our proposed algorithm offers a good level of resistance against abnormal behavior of the network nodes. Furthermore, performance evaluation is also performed through the Hyper-ledger Fabric Blockchain platform. The simulation results show that the proposed consensus algorithm provides high throughput, low latency, low CPU utilization, and communication bandwidth consumption as compared to the state- of-the-art benchmark proposed in the literature. The lightweight and secure nature of the proposed algorithm makes it a suitable solution for the consensus process in DLT.
AbstractList	Distributed ledger technology (DLT) is most widely used in many areas for example healthcare, finance, public welfare, and Internet of Things (IoT) to provide security and effi- ciency. The consensus algorithm is a key component of DLT-based networks that plays a vital role in maintaining the performance of the network and ensuring security. We proposed a consensus algorithm that selects a leader or miner node based on a lucky number for block mining. The proposed algorithm is not only scalable but also enhances security during the consensus process in the presence of less trustworthy nodes, the selected miner node is re-authenticated by the trusted authority before adding a block in the ledger. Apart from the re-authentication process, the trust level of the miner node is also checked. Statistical analysis is performed to prove the security of the proposed algorithm. The results demonstrate that our proposed algorithm offers a good level of resistance against abnormal behavior of the network nodes. Furthermore, performance evaluation is also performed through the Hyper-ledger Fabric Blockchain platform. The simulation results show that the proposed consensus algorithm provides high throughput, low latency, low CPU utilization, and communication bandwidth consumption as compared to the state- of-the-art benchmark proposed in the literature. The lightweight and secure nature of the proposed algorithm makes it a suitable solution for the consensus process in DLT.
ArticleNumber	310
Author	Maple, Carsten Khan, Muhammad Altaf Song, Houbing Herbert Hussain, Munir Mehmood, Amjad Wang, Huihui
Author_xml	– sequence: 1 givenname: Munir surname: Hussain fullname: Hussain, Munir organization: Institute of Computing, Kohat University of Science and Technology – sequence: 2 givenname: Amjad surname: Mehmood fullname: Mehmood, Amjad email: dramjad.mehmood@ieee.org, dramjad.mehmood@warwick.ac.uk organization: Institute of Computing, Kohat University of Science and Technology, Secure Cyber Systems Research Group (CSCRG), WMG, University of Warwick – sequence: 3 givenname: Muhammad Altaf surname: Khan fullname: Khan, Muhammad Altaf organization: Institute of Computing, Kohat University of Science and Technology – sequence: 4 givenname: Huihui surname: Wang fullname: Wang, Huihui organization: Computing Programs, Northeastern University – sequence: 5 givenname: Houbing Herbert surname: Song fullname: Song, Houbing Herbert organization: Department of Information Systems, University of Maryland – sequence: 6 givenname: Carsten surname: Maple fullname: Maple, Carsten organization: Secure Cyber Systems Research Group (CSCRG), WMG, University of Warwick
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SubjectTerms	Algorithms Authentication Blockchain Computer Communication Networks Computer Science Cybersecurity Data integrity Digital currencies Distributed ledger Efficiency Energy consumption Fault tolerance Internet of Things Network latency Nodes Operating Systems Performance evaluation Processor Architectures Statistical analysis
Title	ReCaLS-in-DLT: resilient consensus algorithm for leader selection in distributed ledger technology
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