A fingerprint recognition technology for power IoT devices integrating multidimensional information
Lu Liewen1，Liu Jiaye2，Yang Shengming1
1. China Electronic Product Reliability and Environmental Testing Research Institute; 2. 93131 Troops of the Chinese People′s Liberation Army
Abstract： To address security issues such as malicious tampering and illegal access faced by computing-power-free devices in the power Internet of Things (IoT), and existing device fingerprint technology lacks adaptability in complex environments, this paper proposes a device fingerprint recognition technology that integrates multi-dimensional information to enhance the security and accuracy of device recognition. Methodologically, it combines hardware identifiers, communication protocol characteristics, and operational status data to construct a dynamic fingerprint model through adaptive hashing, attention-enhanced encoding, window algorithms, and other techniques, and verifies its performance through comparison with mainstream algorithms. The research results show that this technology achieves high accuracy, recall rate, and F1 score in both normal and abnormal network environments and power operation states. It is suitable for computing-power-free devices and can adapt to a certain degree of environmental changes. This technology provides an effective solution for accurate identification and security management of computing-power-free devices in the power IoT. In the future, it can be further optimized by combining new technologies to adapt to more new scenarios.
Key words : power Internet of Things; computing-power-free device; device fingerprint; identification technology; modeling; experimental simulation
