Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network
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 interna...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2020-06-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00172/ |
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| _version_ | 1841531121073913856 |
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| author | Haojie HUANG Xiaoxiao WU Gangqiang LI |
| author_facet | Haojie HUANG Xiaoxiao WU Gangqiang LI |
| author_sort | Haojie HUANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ee77e88e4e8741c8acda9fdf589f34ed |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2020-06-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-ee77e88e4e8741c8acda9fdf589f34ed2025-01-15T02:54:02ZzhoChina InfoCom Media Group物联网学报2096-37502020-06-014586959651734Anomaly detection and location of malicious node for IoT based on smart contract in blockchain networkHaojie HUANGXiaoxiao WUGangqiang LIWith 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.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00172/Internet of Things (IoT)data injection attackblockchainsmart contractmalicious node |
| spellingShingle | Haojie HUANG Xiaoxiao WU Gangqiang LI Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network 物联网学报 Internet of Things (IoT) data injection attack blockchain smart contract malicious node |
| title | Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network |
| title_full | Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network |
| title_fullStr | Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network |
| title_full_unstemmed | Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network |
| title_short | Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network |
| title_sort | anomaly detection and location of malicious node for iot based on smart contract in blockchain network |
| topic | Internet of Things (IoT) data injection attack blockchain smart contract malicious node |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00172/ |
| work_keys_str_mv | AT haojiehuang anomalydetectionandlocationofmaliciousnodeforiotbasedonsmartcontractinblockchainnetwork AT xiaoxiaowu anomalydetectionandlocationofmaliciousnodeforiotbasedonsmartcontractinblockchainnetwork AT gangqiangli anomalydetectionandlocationofmaliciousnodeforiotbasedonsmartcontractinblockchainnetwork |