Personal password credibility evaluation method fusing biological characteristics and rule engine

By combining biometrics and rule engines in the password input process, the system identifies password structure switching points and reorganizes the judgment rules, solving the problem of insufficient correlation between password structure changes and biometric fluctuations in existing technologies, and improving the accuracy and stability of password input credibility assessment.

CN122133121AActive Publication Date: 2026-06-02SHANGCE INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202610179143.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-09
Publication Date
2026-06-02
Estimated Expiration
2046-02-09

AI Technical Summary

Technical Problem

Existing technologies fail to effectively link changes in cryptographic structure with fluctuations in biometrics, leading to a decrease in the accuracy of credibility assessment during the cryptographic input process.

Method used

By acquiring users' biometric data and password input data, the system parses the password logic structure, identifies password structure switching points, isolates and identifies biometric data based on these switching points, extracts biometric change feature sequences, reorganizes the judgment rules in the preset rule engine, and evaluates password credibility.

Benefits of technology

It improves the granularity and accuracy of the credibility assessment of the password input process, and can accurately identify and reasonably interpret local behavioral changes, avoiding their interference with the overall judgment result.

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Abstract

The invention discloses a personal password credibility evaluation method fusing biological characteristics and a rule engine, and relates to the technical field of password evaluation, and the method comprises the following steps: obtaining biological characteristic data and password input data of a user, and carrying out password logic structure analysis on the password input data to obtain a password structure switching point; performing isolation identification on the biological characteristic data based on the password structure switching point to obtain a first isolation area; extracting a biological change feature sequence from the first isolation region, and recombining judgment rules in a preset rule engine based on the biological change feature sequence to obtain a password structure rule group; the personal password credibility is evaluated based on the password structure rule group, and the password credibility evaluation result is output. The problem that in the prior art, password structure change and natural fluctuation of biological characteristics in the input process cannot be subjected to correlation modeling, and consequently the evaluation accuracy of the credibility in the password input process is reduced is solved.
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