Web Component Device Authenticity Detection
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Solution Overview
Problem
Counterfeit electronic devices, particularly mobile devices, pose a significant threat due to inferior quality and safety risks, with existing methods failing to effectively identify and mitigate their proliferation.
Innovation Solution
A method and system that utilize a web page component to retrieve actual device attributes, compare them with reference values stored in a device property store, and determine if a device is counterfeit by identifying discrepancies, leveraging the web browser and cellular telephony disciplines to assess device authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If government agencies intercept shipments and educate consumers, then counterfeit device distribution is limited, but counterfeit devices still proliferate and consumers remain vulnerable
Solution Approach 1:
The system performs preliminary detection of device authenticity by comparing device attributes against known counterfeit patterns before consumers can be harmed. The detection mechanism proactively identifies counterfeit devices through attribute analysis, preventing vulnerable consumers from being deceived by fake devices that look genuine.
Solution Approach 2:
The patent replaces physical inspection methods and consumer education campaigns with an automated digital detection system. Instead of relying on manual interception of counterfeit shipments or consumer awareness, the system uses automated comparison of device attributes (camera signatures, processor characteristics, memory patterns) to identify counterfeit devices programmatically.
2Measurement precision
If device attributes are compared against reference values, then counterfeit devices are identified, but detection complexity increases
Solution Approach 1:
The system uses a universal detection approach that works across multiple device types and manufacturers. By establishing reference value databases that contain counterfeit patterns from various sources, the same detection mechanism can identify counterfeit devices regardless of brand or model, making the system multi-functional and broadly applicable without requiring device-specific customization.
Solution Approach 2:
The system creates digital copies of genuine device attributes (camera signatures, processor IDs, memory characteristics) and stores them as reference values. These copied attribute profiles serve as templates for comparison, allowing the system to accurately identify counterfeit devices by detecting deviations from the copied genuine device characteristics without needing physical reference devices.
Data Source
AI summary
A method of determining that a subject electronic device 1021 . . . N is counterfeit. The method involves delivering the web page component to a subject device 1021 . . . N in response to a request. The web page component is adapted to retrieve actual values of a plurality of attributes from the subject device 1021 . . . N. Reference values of the plurality of attributes are retrieved from a device property store 110 and the method determined that the subject device 1021 . . . N is counterfeit when at least one of the actual values of the plurality of attributes is different to the reference value of that attribute.