Computer Sciences and Information Technology
Title : | Multi-Objective Optimization for Enhanced Capacity, security, and Robustness in Image steganography: A Mathematical Model |
Area of research : | Computer Sciences and Information Technology |
Focus area : | Theoretical sciences |
Principal Investigator : | Dr. Gyan singh Yadav, Indian Institute of Information Technology, Kota, Rajasthan |
Timeline Start Year : | 2024 |
Timeline End Year : | 2027 |
Contact info : | gyansingh.cse@iiitkota.ac.in |
Details
Executive Summary : | This research project aims to develop a mathematical model for image steganography that employs multi-objective optimization techniques to enhance capacity, security, and robustness. The project seeks to find an optimal solution that maximizes the hidden data while maintaining high levels of security and robustness against potential attacks. The research will explore various optimization methods and assess their effectiveness in achieving the desired objectives. Ultimately, this project aims to contribute to the development of more efficient and secure image steganography techniques. steganography is the art of hiding secret information within a cover image without being detected. The capacity of steganography to hide information is dependent on several factors, such as the size of the cover image, the complexity of the secret data, and the steganography technique employed. However, the challenge lies in maintaining a balance between capacity, security, and robustness of the steganography technique. Multi-objective optimization techniques are becoming increasingly popular in various fields, including image processing and steganography. By incorporating these techniques, the proposed mathematical model will aim to find an optimal solution that maximizes the capacity of steganography to hide information while maintaining a high level of security and robustness. The project will investigate various optimization methods, such as genetic algorithms and particle swarm optimization, to assess their effectiveness in achieving the desired objectives. The outcomes of this research will contribute to the development of more efficient and secure image steganography techniques, which will have significant implications for secure communication in various applications such as military, medical, and financial domains. Conclusively, this research project is a timely and important endeavor that aims to develop a mathematical model for image steganography that employs multi-objective optimization techniques. By enhancing the capacity, security, and robustness of steganography, the proposed model has the potential to make a significant contribution to the field of secure communication. |
Total Budget (INR): | 6,60,000 |
Organizations involved