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作 者:艾学瑛[1] AI Xue⁃ying(Shiyan Taihe Hospital,Shiyan 442000,China)
出 处:《电子设计工程》2020年第10期108-112,共5页Electronic Design Engineering
基 金:湖北省十堰市科学技术研究与开发项目(17Y30)。
摘 要:针对传统物流系统,尤其是仓储管理系统,存在效率低、实时性差、溯源困难和数据安全性差等问题,文中提出了基于区块链和5G物联网的溯源及异常数据预警系统。将5G技术与物联网技术相结合,可以有效解决传感器产生的海量数据实时传输的问题。采用区块链技术、全同态加密智能合约来提高区块数据的安全性,从而实现密文传输和密文数据的计算,同时引入第三方溯源账本,以提高溯源效率。基于免疫原理的异常数据检测模型的构建,实现异常数据检测。测试结果表明,所提出的方案可以有效对数据进行加密,同时能够在密文情况下进行数据操作并具备良好的准确性;对于异常数据的检测,准确率可达81.5%。In order to solve the problems of low efficiency,low real⁃time,difficult traceability and poor data security in traditional logistics systems,especially the warehouse management system,this paper a traceability and anomaly data early warning system based on blockchain and 5G Internet of Things is proposed.The problem of real-time transmission of massive data generated by sensors can be solved by combining 5G technology with IoT technology.Blockchain technology and fully homomorphic encryption smart contracts are used to improve the security of block data and to implement ciphertext transmission and ciphertext data calculation.At the same time,third-party traceable accounts are introduced to improve the efficiency of traceability.Abnormal data detection can be achieved by constructing an abnormal data detection model based on the immune principle.The test results show that the proposed scheme can effectively encrypt the data and can operate the data in the ciphertext case with good accuracy.For the detection of abnormal data,the accuracy can reach 81.5%.
分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]
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