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A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things

Yunfa Li, Yifei Tu, Jiawa Lu, Yunchao Wang

2020Sensors40 citationsDOIOpen Access PDF

Abstract

With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned security issues, a security transmission and storage solution is proposed about sensing image for blockchain in the IoT. Firstly, this solution intelligently senses user image information, and divides these sensed data into intelligent blocks. Secondly, different blocks of data are encrypted and transmitted securely through intelligent encryption algorithms. Finally, signature verification and storage are performed through an intelligent verification algorithm. Compared with the traditional IoT data transmission and centralized storage solution, our solution combines the IoT with the blockchain, making use of the advantages of blockchain decentralization, high reliability, and low cost to transfer and store users image information securely. Security analysis proves that the solution can resist theft attacks and ensure the security of user image information during transmission and storage.

Topics & Concepts

Computer scienceEncryptionData transmissionComputer securityTransmission (telecommunications)Computer data storageData securitySecure transmissionInternet of ThingsBlockchainComputer networkComputer hardwareTelecommunicationsBlockchain Technology Applications and SecurityAdvanced Steganography and Watermarking TechniquesIoT and Edge/Fog Computing
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