Efficient and Secure Blockchain Consensus Algorithm for Heterogeneous Industrial Internet of Things Nodes Based on Double-DAG

计算机科学 有向无环图 数据库事务 块链 计算机网络 分布式计算 计算机安全 算法 数据库
作者
Yourong Chen,Yang Zhang,Yunying Zhuang,Kelei Miao,Seyedamin Pouriyeh,Meng Han
出处
期刊:IEEE Transactions on Industrial Informatics [Institute of Electrical and Electronics Engineers]
卷期号:20 (4): 6300-6312 被引量:10
标识
DOI:10.1109/tii.2023.3342473
摘要

With the Industrial Internet of Things (IIoT) continuing to expand, lots of data collection, exchange, and authentication generated from an increasing number of access devices is required with heterogeneity, multidimension, and multiobjective networks as its characteristics. However, traditional IIoT systems are vulnerable to security challenges, such as data leakage, theft, and tampering. As one of the most promising solutions, blockchain has played an essential role in ensuring security and transparency in the IIoT. But there are still some challenges that prevent the secure and effective implementation of blockchain-based IIoT systems in consensus security, consensus efficiency, and consensus application. To address these problems, we propose an effective security blockchain consensus algorithm for heterogeneous IIoT nodes aiming to defend against the consensus attack and improve consensus efficiency. First, we design a blockchain-based IIoT system architecture. Then, we present an identity authentication and transformation protocol to defend against consensus attacks. Furthermore, we introduce a method for constructing communication directed acyclic graphs (DAGs) and transaction set DAGs to enhance transaction throughput. Based on these two DAGs, we propose an efficient and security consensus algorithm (DAG-D). DAG-D employs transaction sets instead of single transactions or blocks, leveraging communication DAG propagation to swiftly confirm transaction set DAGs based on parent transactions for associated confirmation. Experimental results show that our proposed DAG-D outperforms DAG-M, DAG-Avalanche, and DAG-CoDAG, regarding transaction throughput, transaction latency, and communication overhead.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
飞快的孱发布了新的文献求助10
1秒前
1秒前
1秒前
qd发布了新的文献求助30
1秒前
1秒前
2秒前
Crane发布了新的文献求助10
3秒前
3秒前
木子发布了新的文献求助10
3秒前
阔达绍辉完成签到,获得积分10
4秒前
锅包肉发布了新的文献求助10
4秒前
慕青应助yiqiu采纳,获得10
4秒前
英俊凡霜发布了新的文献求助10
4秒前
5秒前
黄锐完成签到,获得积分10
5秒前
意寒完成签到,获得积分10
5秒前
yuanying完成签到,获得积分10
6秒前
juaner完成签到,获得积分10
6秒前
榴莲发布了新的文献求助10
6秒前
柯柯发布了新的文献求助10
6秒前
6秒前
龙川武生发布了新的文献求助10
7秒前
8秒前
8秒前
Ava应助黄锐采纳,获得10
8秒前
yuanying发布了新的文献求助10
8秒前
9秒前
djbj2022发布了新的文献求助10
10秒前
脑斧儿发布了新的文献求助10
10秒前
11秒前
11秒前
至乐无乐完成签到 ,获得积分10
11秒前
12秒前
内向雨南完成签到,获得积分10
13秒前
13秒前
wangheng发布了新的文献求助10
13秒前
左一酱发布了新的文献求助10
15秒前
披着羊皮的狼应助叶文腾采纳,获得10
15秒前
小柏学长完成签到,获得积分10
17秒前
喃喃完成签到,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6371119
求助须知:如何正确求助?哪些是违规求助? 8184815
关于积分的说明 17269319
捐赠科研通 5425601
什么是DOI,文献DOI怎么找? 2870327
邀请新用户注册赠送积分活动 1847364
关于科研通互助平台的介绍 1694018