A Novel Steganography-Based Pattern for Print Matter Anti-Counterfeiting by Smartphone Cameras.

Area of Science:

• Computer Science
• Information Security
• Digital Forensics

Background:

• Print matter authentication faces challenges with existing anti-counterfeiting methods, including poor user experience, high costs, and limited effectiveness against sophisticated counterfeiting.
• Current solutions often fail to provide pre-sale authentication, leaving products vulnerable during distribution.

Purpose of the Study:

• To propose a novel steganography-based pattern for print matter anti-counterfeiting.
• To develop a method that enables authentication using readily available smartphone cameras.
• To enhance the ability to distinguish original printed materials from illegitimate copies.

Main Methods:

• A two-level pixel expansion technique is employed, where original message image pixels are replaced by pixel blocks.
• Image encryption is performed using a logistic chaotic sequence, followed by scrambling with the Arnold transform.
• The semi-fragile nature of the final pattern is controlled by the size and gray value of the second-level pixel blocks.

Main Results:

• The proposed scheme successfully distinguishes copied patterns from original prints.
• Experimental results validate the advancement and effectiveness of the steganography-based anti-counterfeiting approach.
• The method allows for the extraction and decoding of the embedded message to verify authenticity.

Conclusions:

• The novel steganography technique offers a viable solution for print matter authentication.
• The use of smartphone cameras makes the authentication process accessible and user-friendly.
• The developed method provides a robust and effective anti-counterfeiting strategy against illegitimate copies.