Device Fingerprint Extraction Method Based on Feature Identification and Cryptography

Abstract

In order to improve the identification efficiency of devices in the perception layer of the Internet of things, reduce the operation cost, and effectively protect data privacy, a device fingerprint extraction method based on lightweight national secret algorithm was proposed. First, the feature information of embedded module is introduced to construct a comprehensive feature set, and the reasonable feature subset is determined on the basis of the feature selection strategy of expert information weighting mechanism; Second, the lightweight domestic commercial cipher algorithm with high security is selected to transform the feature subset data into device fingerprint; Finally, on the bases of the electric energy acquisition equipment in the power Internet of things, the fingerprint value extracted meets the requirements of uniqueness and unforgeability. Compared with the relevant literature, it has the characteristics of saving storage resources, fast response, and strong confidentiality, which verifies the feasibility of the method.

Keywords

• internet of things
• feature selection
• lightweight
• national secret
• device fingerprint