ISSN: 2582 - 9734
Salunke Nilesh Tatyasaheb , Dr. Vinod Kumar
CrossRef DOI URL : https://doi.org/10.31426/ijesti.2024.4.7.4511
This research investigates the application of the Euclidean algorithm and various cryptographic techniques to image recognition, focusing on chaos-based and non-chaos-based block ciphers, and categorizing them by compression methods. Traditional encryption methods like AES and RSA struggle with image encryption due to pixel correlation and data volume. Chaos theory, with its sensitivity to initial conditions and stochastic behaviour, offers a promising alternative. The study employs both qualitative and quantitative analyses, using primary and secondary data to evaluate security metrics. Practical limitations such as resource constraints and access to proprietary algorithms are acknowledged. The findings enhance the understanding of real-time image encryption, showcasing the robustness and reliability of computational techniques, and providing a comparative analysis of different methods. This research contributes to advancing image encryption technology by integrating traditional and innovative cryptographic approaches, highlighting potential for improved security in practical applications..
2024
30
