Duo‐H: An Effectual Consensus Algorithm Using Two‐Tier Shard Consortium Blockchain Mechanism for Enhanced Privacy Protection

Author:

Devi C. H. Sarada1ORCID,Anand R.2,Hemalatha R.3,Maheswari B. Uma3

Affiliation:

1. Department of Computer Science and Engineering Meenakshi College of Engineering Chennai Tamil Nadu India

2. Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission's Research Foundation Deemed to Be University Chennai Tamil Nadu India

3. Department of Computer Science and Engineering St. Joseph's College of Engineering, OMR Chennai Tamil Nadu India

Abstract

ABSTRACTBlockchain is an innovative technology for storing data in decentralized, distributed, and secure chain blocks. Consortium blockchains are commonly used in transactions where transactions between organizations are also achieved by the blockchain. In the classic consortium blockchain system, entire nodes are added to each other in the process of transaction consensus. This leads to lower confidentiality in protecting transaction data within the organizations in the consortium. The throughput of the existing consortium blockchain system is still low. To solve the above problems, the paper proposes a two‐tier consortium blockchain with transaction privacy based on sharding technology. First, a trust value assessment is carried out to select the nodes of the blockchain. The duo‐head observation strategy uses these trust values to identify the nonmalicious node. Finally, the consensus separation approach based on the guarantee mechanism strategy with the shard nodes is presented. This approach is used to select reliable nodes for the blocks to be stored. The proposed consortium blockchain approach evaluation is done in terms of latency, throughput, and transactions per second metrics. As a result of the evaluations, the proposed model with 32 shards possesses 143,891 of throughput and 1.11 s of latency. Moreover, by the proposed two‐tier consortium model, time consumption is also decreased when uploading data. For a data set of 50,000, the suggested model has a time consumption of 96 s. The proposed research results in higher throughput and less latency in transactions. Also, the research enhances the scalability and reliability by overcoming the poor node issues.

Publisher

Wiley

Reference30 articles.

1. Blockchain, Bitcoin, and ICOs: A Review and Research Agenda;Romi K.;Small Business Economics,2021

2. A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities;Afif M. A.;IEEE Access,2019

3. A Survey of Distributed Consensus Protocols for Blockchain Networks;Yang X.;IEEE Communications Surveys & Tutorials,2020

4. Comparisons of Blockchain Based Consensus Algorithms for Security Aspects;Bosamia M.;International Journal on Emerging Technologies,2020

5. Blockchain Technology Applications for Industry 4.0: A Literature‐Based Review;Mohd J.;Blockchain: Research and Applications,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3