Strengthening QR code Anti-Counterfeit through Multi-Encryption Algorithm

Samyukta Narayanan, S. Prabhu · 2024

The rise in digital information sharing poses risks to privacy and personal identity, making data vulnerable to theft and swift modifications during transfer. Safeguarding digital data against attackers is crucial. To enhance QR code security and combat counterfeiting, a novel approach is presented in this study. This method integrates the Advanced Encryption Standard (AES) algorithm and Rubik's Cube Principle, fortifying anti-counterfeit measures in QR codes. The QR code image is divided into RGB channels using the Rubik's Cubic Principle. The AES encryption key encrypts these channels, and the results are combined into an encrypted image. Experimental outcomes affirm the effectiveness of the proposed scheme, demonstrating robust encryption and impeccable concealment capabilities.

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