基于区块链智能合约的物联网恶意节点检测和定位

黄豪杰; 吴晓晓; 李刚强

doi:10.11959/j.issn.2096-3750.2020.00172

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基于区块链智能合约的物联网恶意节点检测和定位

专题：区块链赋能物联网 | 更新时间：2024-06-05

- 基于区块链智能合约的物联网恶意节点检测和定位
- Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network
- 物联网学报 2020年4卷第2期页码：58-69
- 作者机构：
  
  1. 深圳大学电子与信息工程学院，广东深圳 518060
  2. 鹏城实验室，广东深圳 518055
- 作者简介：
  
  [ "黄豪杰（1997- ），男，湖北天门人，深圳大学电子与信息工程学院硕士生，主要研究方向为物联网、区块链、数据挖掘等" ]
  [ "吴晓晓（1982- ），女，湖北鄂州人，博士，深圳大学助理教授，主要研究方向为社交网络中的数据挖掘算法、5G 通信网络关键技术研究、信道编码理论等" ]
  [ "李刚强（1991- ），男，河南驻马店人，深圳大学电子与信息工程学院博士生，主要研究方向为社交网络中的数据挖掘算法、分布式协议、机器学习等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61701315);深圳市科技研发基金基础研究项目;The Basic Research Project of Shenzhen Technology Research and Development Fund(JCYJ20170817101149906)
- DOI：10.11959/j.issn.2096-3750.2020.00172
  中图分类号： TN92
- 纸质出版日期：2020-06-30，
  
  网络出版日期：2020-06，
- 稿件说明：
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黄豪杰, 吴晓晓, 李刚强. 基于区块链智能合约的物联网恶意节点检测和定位[J]. 物联网学报, 2020,4(2):58-69.

HAOJIE HUANG, XIAOXIAO WU, GANGQIANG LI. Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network. [J]. Chinese journal on internet of things, 2020, 4(2): 58-69.
黄豪杰, 吴晓晓, 李刚强. 基于区块链智能合约的物联网恶意节点检测和定位[J]. 物联网学报, 2020,4(2):58-69. DOI： 10.11959/j.issn.2096-3750.2020.00172.

HAOJIE HUANG, XIAOXIAO WU, GANGQIANG LI. Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network. [J]. Chinese journal on internet of things, 2020, 4(2): 58-69. DOI： 10.11959/j.issn.2096-3750.2020.00172.

摘要

随着物联网中分布式设备数量的爆发式增长，设备之间的协作和优化算法的安全问题成为物联网系统研究的前沿问题。物联网中的分布式算法依赖于单个智能体的本地计算和近邻间通信来迭代地解决一类广泛的、受约束的优化问题，但是容易遭受来自内部恶意节点的数据注入攻击。针对现有的检测方法大部分为本地运行，并且存在数据封闭、单点故障、检测过程不透明等问题，考虑使用区块链技术和智能合约对网络中存在的恶意节点进行检测。所提方法基于区块链技术的去中心化和多地备份特性实现了数据共享，避免了单点故障问题。另外，利用智能合约的合约代码、执行过程及结果公开透明且合约代码与结果不可篡改等特性保证检测过程可追溯和可验证。最后，采用平均共识算法并基于树莓派平台对所提方法进行验证分析。

Abstract

With the explosive growth of the number of distributed devices in the Internet of things (IoT) network

the security of decentralized multi-agent optimization algorithm has become the forefront problem.The distributed algorithms in the IoT network are vulnerable to data injection attacks from internal malicious node because each agent locally estimates its state without any supervision.In general

the detection methods for malicious node run independently in each agent

inducing issues such as closed data

single points of failure

opaque detection processes

and so on.The proposed strategy considered detecting via an aid of blockchain technology and smart contracts in Ethereum to detect malicious node in the network.Based on the decentralized and multiple backup features of blockchain technology

the multi-site backup features of the blockchain technology enabled data sharing and avoided single point failure.In addition

the contract code

execution process and result of the smart contract were open and transparent

and the contract code and result could not be tampered to ensure that the detection process could be traced and verified.Finally

the average consensus algorithm was adopted as an example

and the proposed strategy was verified on a simplified IoT network implemented by Raspberry Pi.

关键词

物联网数据注入攻击区块链智能合约恶意节点

Keywords

Internet of things (IoT)data injection attackblockchainsmart contractmalicious node

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