User Signature Authentication via Device Data Comparison
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Solution Overview
Problem
Existing methods for authenticating users on new devices after upgrades are cumbersome, often requiring manual credential entry and SMS verification, which can be inconvenient and prone to errors, especially when transferring data from old to new phones.
Innovation Solution
The system generates a user signature, such as an address book signature, using CRC32 hashing and XOR operations, allowing seamless authentication by comparing the signature on the new device with the stored signature on the server, reducing the need for manual credentials and SMS verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual credential entry and SMS verification are used for authentication, then security is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic authentication by generating a user signature from device data (address book, contacts) and comparing it with server-stored signatures, eliminating the need for manual credential entry and SMS verification by the user
Solution Approach 2:
The system creates a digital copy of user identity characteristics through the user signature generated from device data, which serves as an alternative to traditional credentials for authentication purposes
2Reliability
If traditional authentication methods are used during device upgrades, then reliability is maintained, but loss of time increases
Solution Approach 1:
The system pre-generates and stores user signatures on the server during device registration or data synchronization, so that during device upgrades, authentication can be performed by simply comparing the new device's signature with the pre-stored signature, eliminating time-consuming verification steps
3Measurement precision
If manual credential management is required, then measurement precision of user identity is improved, but device complexity increases
Solution Approach 1:
The system extracts essential user identity characteristics from device data (address book, contacts) to generate a compact user signature, removing the need for complex credential management systems while maintaining verification accuracy
Data Source
AI summary
A method for seamlessly authenticating users of a first and second device is described. The method includes: determining a set of first signatures for a first device; generating a set of second signatures for a second device; comparing the set of first signatures with the set of second signatures; and based on the comparing, granting a user authentication status if a difference between the set of first signatures and the set of second signatures is less than a predetermined tolerance threshold, and rejecting the user authentication status if a difference between the set of first signatures and the set of second signatures is more than the predetermined tolerance threshold.


