Digital fingerprint extraction method of IOT devices based on Cryptography

In order to improve the identification efficiency of devices in the perception layer of the Internet of Things, reduce the cost of calculation and protect data privacy, a device fingerprint extraction method based on lightweight national secret algorithm is proposed. Firstly, the feature information of embedded module is introduced to construct a comprehensive feature set, and the reasonable feature subset is determined based on the feature selection strategy of expert information weighting mechanism; Secondly, the lightweight cipher algorithm with high security is selected to transform the feature subset data into device fingerprint; Finally, based on the electric energy acquisition equipment in the power Internet of things, the fingerprint value extracted meets the requirements of uniqueness and unforgeability, and has the characteristics of fast response, which verifies the feasibility of the method.