Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

Comprehensive Survey on Image Encryption Algorithm for Secure Image Transmission using Chaotic Mapping System

Authors
R. Anandkumar1, B. Shanmugapriyan1, *, R. J. Arun Roshaan1, P. Pathytharan1
1Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
*Corresponding author. Email: shanmugapriyan063@gmail.com
Corresponding Author
B. Shanmugapriyan
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_98How to use a DOI?
Keywords
Chaotic Map; Image Encryption; Secure Image Transmission; Chaos Theory; 3D Henon Map; Lorenz Map
Abstract

The growing dependency on digital communication and the rapid expansion of image sharing over public networks have made secure image transmission a critical necessity. Chaos theory, characterized by sensitivity to initial conditions, pseudo-random behavior, and non-periodicity, offers unique advantages for encryption by generating unpredictable key streams and highly efficient scrambling. This survey focuses on chaotic map–based image encryption algorithms designed for secure image transmission. We review 15 significant works that employ techniques such as 3D Henon maps, Lorenz maps, Arnold Cat maps, Unified Chaotic Maps, and hyper-chaotic systems. The survey highlights methodologies, security performance metrics (Shannon entropy, NPCR, UACI, correlation coefficients), computational efficiency, and resistance to cryptographic attacks. Challenges such as scalability, robustness against noise, and deployment in cloud or real-time environments are also discussed, along with potential future research directions.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_98How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - R. Anandkumar
AU  - B. Shanmugapriyan
AU  - R. J. Arun Roshaan
AU  - P. Pathytharan
PY  - 2026
DA  - 2026/03/31
TI  - Comprehensive Survey on Image Encryption Algorithm for Secure Image Transmission using Chaotic Mapping System
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1336
EP  - 1343
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_98
DO  - 10.2991/978-94-6239-616-6_98
ID  - Anandkumar2026
ER  -