Reputation-Driven Dynamic Node Consensus and Reliability Sharding Model in IoT Blockchain

被引：14

作者：

Jiang, Nianqi ^{[1
,2
]}

Bai, Fenhua ^{[1
,2
]}

Huang, Lin ^{[3
]}

An, Zhengyuan ^{[3
]}

Shen, Tao ^{[1
,2
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650093, Yunnan, Peoples R China

[2] Kunming Univ Sci & Technol, Yunnan Key Lab Comp Technol Applicat, Kunming 650500, Yunnan, Peoples R China

[3] Yunnan Prov Acad Sci & Technol, Kunming 650051, Yunnan, Peoples R China

来源：

ALGORITHMS | 2022年 / 15卷 / 02期

基金：

中国国家自然科学基金;

关键词：

blockchain; Internet of Things; reputation; node eliminate; sharding; CHALLENGES; SECURITY;

D O I：

10.3390/a15020028

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Internet of Things that links the cyber and physical worlds brings revolutionary changes to society, however, its security and efficiency problems have not been solved. The Consortium Blockchain + IoT is considered to be an effective solution. The IoT blockchain network's demand for transaction processing speed is gradually increasing. The throughput problem of the blockchain needs to be solved urgently and the security problem of transaction processing that comes with it. To solve the above problems, this paper proposes a reputation-driven dynamic node security sharding consensus model (RDSCM) in the blockchain, which consists of two parts: a reputation-driven node to eliminate PBFT (RE-PBFT) and a reputation-driven node cross reconfiguration sharding scheme (NCRS). The RE-PBFT eliminates abnormal nodes in the consensus network and reduces the probability of abnormal nodes becoming master nodes. NCRS improves the blockchain throughput while ensuring sharding reliability. Finally, the experiment proves that RE-PBFT can identify abnormal nodes and remove them in a short time. NCRS can effectively guarantee the reliability of sharding, and the transaction processing efficiency has been greatly improved after sharding.

引用

页数：22

共 44 条

[1] A Survey on the Integration of Blockchain With IoT to Enhance Performance and Eliminate Challenges [J].

Al Sadawi, Alia ;

Hassan, Mohamed S. ;

Ndiaye, Malick .

IEEE ACCESS, 2021, 9 :54478-54497

[2] Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].

Al-Fuqaha, Ala ;

Guizani, Mohsen ;

Mohammadi, Mehdi ;

Aledhari, Mohammed ;

Ayyash, Moussa .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376

[3] Applications of Blockchains in the Internet of Things: A Comprehensive Survey [J].

Ali, Muhammad Salek ;

Vecchio, Massimo ;

Pincheira, Miguel ;

Dolui, Koustabh ;

Antonelli, Fabio ;

Rehmani, Mubashir Husain .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (02) :1676-1717

[4] A Comparative Study: Blockchain Technology Utilization Benefits, Challenges and Functionalities [J].

Ali, Omar ;

Jaradat, Ashraf ;

Kulakli, Atik ;

Abuhalimeh, Ahmed .

IEEE ACCESS, 2021, 9 :12730-12749

[5] Reputation-Based Coalition Formation for Secure Self-Organized and Scalable Sharding in IoT Blockchains With Mobile-Edge Computing [J].

Asheralieva, Alia ;

Niyato, Dusit .

IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (12) :11830-11850

[6]

Bach LM, 2018, 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), P1545, DOI 10.23919/MIPRO.2018.8400278

[7] Trustworthy Blockchain-Empowered Collaborative Edge Computing-as-a-Service Scheduling and Data Sharing in the IIoE [J].

Bai, Fenhua ;

Shen, Tao ;

Yu, Zhuo ;

Zeng, Kai ;

Gong, Bei .

IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (16) :14752-14766

[8]

Bentov I., 2014, SIGMETRICS Perform. Evaluation Rev., P34, DOI DOI 10.1145/2695533.2695545

[9] LOF: Identifying density-based local outliers [J].

Breunig, MM ;

Kriegel, HP ;

Ng, RT ;

Sander, J .

SIGMOD RECORD, 2000, 29 (02) :93-104

[10]

Castro M., 2002, OSDI, V99, P186

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