Blockchain Device Authentication System
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Solution Overview
Problem
Current methods for identifying devices and users in secure interactions, such as those using SIM, IMEI, MAC addresses, or UCC IDs, are limited in length and can be spoofed, lacking the necessary security and uniqueness for robust authentication.
Innovation Solution
A blockchain-based system that encapsulates a comprehensive abstract composite of device and user information, including configuration details, application history, and biometric data, to create a unique and forgery-proof identity, which is stored and maintained by a mobile carrier or Home Subscriber Server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identification methods (SIM, IMEI, MAC address) are used, then device identification is simple and fast, but security is weak and spoofing is possible
Solution Approach 1:
The identification system is segmented into multiple components: device characteristics data collection, blockchain network segmentation (carrier blockchain, device blockchain, application blockchain), and multi-layer authentication. Each segment handles specific aspects of authentication, distributing the security burden and preventing single-point failures that enable spoofing.
Solution Approach 2:
The patent creates a composite identification system by combining multiple data types (device characteristics, biometric data, application data) into a unified blockchain-based identity. This composite approach integrates heterogeneous information sources to form a robust authentication mechanism that leverages the strengths of each component while mitigating individual weaknesses.
2Measurement precision
If comprehensive device information is collected and stored, then authentication accuracy and uniqueness improve, but data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts only the essential and unique device characteristics needed for authentication, storing them on the blockchain rather than collecting all possible device data. This selective extraction maintains authentication precision while minimizing data storage requirements by focusing on discriminative features.
Solution Approach 2:
The patent transitions from traditional two-dimensional authentication (username/password) to multi-dimensional authentication by incorporating device characteristics, biometric data, application history, and temporal patterns. This dimensional expansion enables more precise device identification without proportionally increasing storage, as the additional dimensions provide exponential discrimination power.
Data Source
AI summary
Mobile devices and other devices used in transactions or interactions with other computer systems can be identified by an abstract composite of information unique to the device. For example, the device can record and store when a user first started the device (a date and time of first use), how the device is configured (including any hardware/software identifications, versions, install dates, time when configurations or installations occurred, etc.), etc. All of the information can be collected for a specified period of time (e.g., 30 minutes, 1 hour, etc.), periodically, or continually. This process yields a large collection of data, which can be condensed (a record before condensing the data may be approximately 10 to 50 MB). The data may then be encapsulated in a blockchain. At least a portion of the blockchain may then be exchanged to identify the device.


