Lightweight security authentication method based on XOR-APUF

Abstract

The invention discloses a lightweight security authentication method based on an XOR gate arbiter unclonable function XOR-APUF. The scene of the method comprises a server side and a token side. According to the method, a reverse fuzzy extractor is constructed at a token end and used for error correction of an XOR-APUF response, a Von Noemann encoder is constructed to encode the XOR-APUF response,the encoded response is separated from original excitation by a direct mapping relation, and the intrinsic noise of an excitation response pair is improved while effective authentication is ensured. Compared with an existing authentication method based on a physical unclonable function PUFs, the machine learning attack resistance of the protocol is improved while the consumption of token hardwareresources is reduced.

Description

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AI Technical Summary

Benefits of technology

In this new technology, there are two methods - one called VonNeuman Encoding (VNE) encoding and another called Reverse Fuzzy Extractor (RFE). These techniques help protect sensitive data from being copied or cracked into malware without compromising their integrity. They also provide secure communication channels through various means like passwords or biometric identification codes. Overall these technical improvements improve protection against computerized threats such as man-invasive adversarial examples.

Problems solved by technology

This patented technical issue addressed in this patents relates to improving physical Unclonatable Function (PU F)-Based Authentication Protocols: Current methods require strong PUs like PRIs, making it difficult to prevent future attacks from being able to penetrate. There also exist challenges related to developing efficient ways to detect weaknesses caused by imperfections within quantum computing systems without compromising any sensitive components inside.

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