Optically Encoded QR Code Authentication via Photon-Counting Encryption
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Solution Overview
Problem
Current QR code technologies lack robust authentication methods, are vulnerable to duplication and data size limitations, and cannot store images without internet access, making them susceptible to malicious attacks and limited by smartphone resolution.
Innovation Solution
Implementing photon-counting encryption with full-phase double-random-phase encryption and iterative Huffman coding to encrypt and compress binary images, which are then stored in optically phase-encoded QR codes, preventing duplication through phase masks and enabling authentication using nonlinear correlation filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If QR codes are used to store data, then information delivery is enabled, but the system becomes vulnerable to duplication and malicious attacks
Solution Approach 1:
The patent applies preliminary action by pre-encoding authentication data and cryptographic keys into the QR code structure before deployment. The system prepares encrypted authentication tokens and embeds them in advance within the QR code, enabling verification to occur before any potential malicious use, thus preventing duplication and attacks through pre-established security measures
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a mediator between the QR code and the scanning device. This intermediary layer includes authentication servers and verification algorithms that validate the QR code content before accepting it, preventing direct access to potentially malicious data and adding a security buffer against attacks
2Adaptability or versatility
If QR codes store only text or URLs, then scanning is simple, but images cannot be stored without internet access
Solution Approach 1:
The patent applies dimensionality change by transitioning from storing only text/URLs (1D information) to embedding compressed image data (2D visual information) within the QR code structure. By encoding images in a dimension that can be directly captured by camera sensors and processed through compression algorithms, the system enables offline image storage while maintaining QR code scannability
Solution Approach 2:
The patent changes parameters by adjusting the QR code error correction level and compression ratio to accommodate image data. By modifying these parameters, the system balances image quality with scan reliability, allowing images to be stored while maintaining compatibility with standard scanning devices without requiring additional hardware complexity
3Quantity of substance
If QR codes use standard encoding, then compatibility is maintained, but data size limits prevent image storage
Solution Approach 1:
The patent applies segmentation by dividing the image data into smaller segments that can be individually encoded and embedded within the QR code structure. This segmentation allows the system to manage large image files by breaking them into manageable chunks, increasing effective storage capacity while maintaining standard encoding compatibility through modular data organization
Solution Approach 2:
The patent implements nesting by embedding compressed image data within the QR code structure, which itself is nested within the broader authentication system. This nested approach allows multiple layers of data compression and encoding, maximizing storage capacity by placing image data inside the QR code, which is then verified by the authentication system, creating a nested security and storage architecture
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides robust authentication and secure storage of images within QR codes, preventing duplication and malicious data insertion, while allowing image storage and retrieval without internet access, even on devices with limited resolution.
Implementation Method 1
Photon-counting imaging has been integrated with the double-random-phase encryption for optical security. The motivation for using photon-counting is that the integration of photon-counting imaging generates an additional layer of complexity that enhances the security of the system against an attacker.
Implementation Method 2
Many variations of random phase encoding for security and encryption have been proposed. By combining the full-phase double-random-phase encryption with photon-counting imaging method
Implementation Method 3
By combining the full-phase double-random-phase encryption with photon-counting imaging method and applying an iterative Huffman coding technique, the present disclosure advantageously encrypts and compresses a binary image containing primary information about the object.
Implementation Method 4
The disclosed method and system allows for an image to be stored in a QR code and read without the need for internet access. The present disclosure relates to a method and system for object authentication using photon-counting encryption implemented with phase encoded QR codes
Implementation Method 5
The method may also include authenticating the image data. The authentication unit may use a nonlinear correlation filter image recognition algorithm to verify the decrypted image against the primary image for authentication.
Data Source
AI summary
An optical security method for object authentication using photon-counting encryption implemented with phase encoded QR codes. By combining the full phase double-random-phase encryption with photon-counting imaging method and applying an iterative Huffman coding technique, encryption and compression of an image containing primary information about the object is achieved. This data can then be stored inside of an optically phase-encoded QR code for robust read out, decryption, and authentication. The optically encoded QR code is verified by examining the speckle signature of the optical masks using statistical analysis.