Certified QR Codes with Trusted Certificate Authority for Counterfeit Detection
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Solution Overview
Problem
Counterfeit goods and unauthorized QR codes pose significant challenges, as they can lead to consumer harm, damage to brand reputation, and facilitate organized crime, while traditional QR codes lack mechanisms for ensuring authenticity.
Innovation Solution
The implementation of Certified QR Codes (CQRs) associated with unique top-level domains (TLDs) verified by a trusted Product Certificate Authority (PCA), which allows for individualized tracking and authentication of products, thereby establishing a trusted system for legitimate product communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional QR codes are used on product labels, then consumers can easily access product information, but counterfeitters can modify the QR codes to point to malicious websites
Solution Approach 1:
The patent introduces a Certificate Authority (CA) as an intermediary entity that issues digital certificates to legitimate manufacturers. These certificates act as mediators between the QR code and the destination URL, verifying the authenticity of the QR code before it redirects to any website. The CA's digital signature on the certificate ensures that only authorized manufacturers can create valid QR codes, preventing counterfeitters from modifying them to point to malicious sites.
Solution Approach 2:
The patent replaces the mechanical/visual verification method (scanning and visually checking QR codes) with an automated digital verification system. The system uses digital certificates with cryptographic signatures that can be automatically validated by scanning devices, eliminating the need for manual verification while providing stronger security. The digital certificate system automatically authenticates the QR code's origin and destination, substituting human judgment with automated cryptographic verification.
2Loss of information
If QR codes point to specific URLs for product information, then consumers receive accurate product details, but malicious actors can redirect to websites containing malware
Solution Approach 1:
The patent implements preliminary verification of the QR code's destination URL before the scanning device redirects to any website. The system checks the digital certificate associated with the QR code to ensure the URL is authorized and trusted. This preliminary action occurs before the harmful redirect can occur, preventing malware infection while ensuring accurate product information delivery. The verification happens in advance, blocking malicious redirects before they can affect the consumer.
Solution Approach 2:
The digital certificate acts as an intermediary security layer between the QR code and the destination URL. The certificate contains cryptographic verification that validates the URL's authenticity, serving as a mediator that prevents direct trust in unverified URLs. This intermediary mechanism ensures that only authorized URLs can be accessed through QR codes, blocking malware while preserving legitimate product information access.
3Ease of manufacture
If manufacturers use standard QR codes for product tracking, then implementation is simple, but individualized tracking and authentication cannot be achieved
Solution Approach 1:
The patent makes the QR code system universal by integrating multiple functions into a single code structure. Each QR code contains not only the destination URL but also embedded digital certificate information that enables authentication. This multi-functionality allows standard QR code scanning devices to simultaneously perform navigation and verification functions, maintaining implementation simplicity while achieving reliable individualized tracking and authentication through the integrated certificate system.
Data Source
AI summary
Server-implemented methods for detecting counterfeit products. A server receives a product identifier and associated attribute data from a user device, compares this data with stored authentic data, and determines the likelihood of counterfeiting. If the likelihood exceeds a predetermined threshold, a notification is transmitted to the user device. The method includes additional features such as location-based discrepancy assessment, database updates, transaction logging, and user authentication. The server employs machine learning algorithms for enhanced detection accuracy and can handle batch processing of multiple identifiers. It also supports secure data transmission, secondary verification using external sources, and integration with mobile applications for real-time alerts. The server can generate detailed reports, calculate counterfeiting probabilities, and set counterfeit flags. Additionally, the present invention allows user input via a user interface and utilizes blockchain for data verification, ensuring comprehensive counterfeit detection and notification capabilities.