Cheating Prevention and Detection Technique in Visual Secret Sharing

Abstract

Visual secret sharing (VSS) has various applications such as visual authentication, access control, steganography, watermarking etc. But there is a possibility of cheating or collusive attack in VSS, where some malicious participants can mislead other honest participants by fake shares. Many research groups have worked on the above-stated problem. All the existed techniques suffer from at least one of the following problems such as additional verification shares, pixel expansion and poor visual quality of a reconstructed secret image. The proposed scheme overcomes all the above discussed shortcomings. Proposed work is based on the hamming code. Moreover, it retains the originality of bit by correcting the modified bit. The novelty of the proposed work is to convert the fake/ modified shares into the original shares with 100% accuracy. The theoretical and experimental analysis shows the effectiveness of the proposed work.

A Novel Image Encryption Using Parity Based Visual Cryptography

“…Yadav [51] in 2020 developed a system that converts fake and modified shares into original shares that has very good accuracy. This helps to identify fake shares that are intended to cheat users.…”