| Title | Improving Chaotic Image Encryption Using Maps with Small Lyapunov Exponents |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Santos, T. A., Magalhães, E. P., Basílio, N. P., Nepomuceno, E. G., Karimov, T. I., Butusov, D. N. |
| Conference Name | 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT) |
| Keywords | chaos, chaos-based encryption, chaotic communication, chaotic cryptography, chaotic encryption scheme, chaotic image encryption, Chaotic systems, correlation coefficient, cryptography, cryptography techniques, Encryption, Entropy, finite precision, image processing, largest Lyapunov exponent, lower bound error, Lyapunov methods, Mathematical model, Metrics, pubcrawl, Resiliency, Scalability, Shannon entropy, small Lyapunov exponents, Standards |
| Abstract | Chaos-based encryption is one of the promising cryptography techniques that can be used. Although chaos-based encryption provides excellent security, the finite precision of number representation in computers affects decryption accuracy negatively. In this paper, a way to mitigate some problems regarding finite precision is analyzed. We show that the use of maps with small Lyapunov exponents can improve the performance of chaotic encryption scheme, making it suitable for image encryption. |
| DOI | 10.1109/MWENT47943.2020.9067476 |
| Citation Key | santos_improving_2020 |
Improving Chaotic Image Encryption Using Maps with Small Lyapunov Exponents