Cheating Prevention in Visual Cryptography
Autor: | Wen-Guey Tzeng, Chih-Ming Hu |
---|---|
Rok vydání: | 2007 |
Předmět: |
Theoretical computer science
business.industry Computer science Cheating Information Storage and Retrieval Cryptography Transparency (human–computer interaction) Image Enhancement Encryption Computer security computer.software_genre Computer Graphics and Computer-Aided Design Secret sharing Visual cryptography Image (mathematics) Pattern Recognition Visual Image Interpretation Computer-Assisted Computer Graphics Humans Overhead (computing) business computer Algorithms Computer Security Software |
Zdroj: | IEEE Transactions on Image Processing. 16:36-45 |
ISSN: | 1057-7149 |
DOI: | 10.1109/tip.2006.884916 |
Popis: | Visual cryptography (VC) is a method of encrypting a secret image into shares such that stacking a sufficient number of shares reveals the secret image. Shares are usually presented in transparencies. Each participant holds a transparency. Most of the previous research work on VC focuses on improving two parameters: pixel expansion and contrast. In this paper, we studied the cheating problem in VC and extended VC. We considered the attacks of malicious adversaries who may deviate from the scheme in any way. We presented three cheating methods and applied them on attacking existent VC or extended VC schemes. We improved one cheat-preventing scheme. We proposed a generic method that converts a VCS to another VCS that has the property of cheating prevention. The overhead of the conversion is near optimal in both contrast degression and pixel expansion. |
Databáze: | OpenAIRE |
Externí odkaz: |