Research on Authentication Credential Generation Technology Based on Windows Terminal Fingerprint

In the realm of information security, traditional terminal fingerprint authentication methods relying on single features or simple combinations encounter certain limitations. This research paper aims to investigate a comprehensive approach for generating representative terminal fingerprints by integrating multiple software and hardware information, specifically for identity authentication. The proposed method encompasses three key steps: information collection, fingerprint generation, and identity authentication. It leverages a default value filling algorithm based on Markov chains, a weight evaluation method grounded in expert rules, and an evaluation authentication method employing autoencoder loss. The experimental findings substantiate that this method yields substantial enhancements in authentication accuracy and reliability, effectively mitigates tampering and forgery risks, and exhibits the capability to flexibly adapt to new fingerprints. Moreover, it streamlines the authentication process, thereby augmenting the performance and security of Windows terminal fingerprint authentication systems.