Back close

Development of Visual Cryptographic Schemes

Start Date: Friday, Apr 01,2011

Project Incharge:Dr. M. Sethumadhavan
Funded by:Advanced Data Processing Research Institute, India
Development of Visual Cryptographic Schemes

Visual cryptography is a perfectly secure way to protect secrets and is characterized by its decryption method. This project is to develop new visual cryptographic scheme satisfying certain conditions. In this project, a secret image is split into a set of shares, so that some authorized shares can have access to the secret, where as other unauthorized shares cannot leak out any secret information. To recover the secret image, one has to collect a set of qualified shares and print them on to transparencies. As long as all the transparencies are stacked up, the secret image will reveal on the stacked image. Since the secret image can be identified with human eyes without any complex decryption algorithms or the aid of computers, visual cryptography schemes can be very suitable for the situation when computers are not available.

The project proposes to develop new algorithms, and algorithms based on paradigm of the existing secure algorithms, for secure symmetric encryption schemes and associated secure key management protocols. The strength of the proposed algorithms are tested and established through standard tests and cipher specific crypt analysis.

Related Projects

An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle
Neural Network Modeling for Stability Analysis of Fibre Reinforced Composite Laminate Plates
Neural Network Modeling for Stability Analysis of Fibre Reinforced Composite Laminate Plates
Joint Utilization of Advance Facility (JUAF) Program ISJRP – Indo-Swiss
Joint Utilization of Advance Facility (JUAF) Program ISJRP – Indo-Swiss
Admissions Apply Now