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.

With the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mode, they are highly likely to cause problems such as illegal operation and stealing of sensor information. In order to meet the needs of increasing IoT users for the security management of intelligent services, a multi-point collaborative authentication method based on user image intelligent collection for the security problems faced by IoT in identity authentication is proposed in the paper. This method firstly collects the identity of the legal user through the intelligent collection technology and then realizes the identity authentication of the unidentified user through the collaborative authentication between the local domain management machine, the back-end image management machine, and the cloud server. Compared with the traditional single identity authentication method, our method uses three-party collaborative authentication to avoid the problem of sensor information stealing easily caused by a single authentication method, which makes the user’s identity authentication more secure and effective. The security analysis shows that the method is able to resist multiple attacks and prevent the sensor information from being illegally operated and stolen, protecting the security of the sensor information.