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Research Article | Open Access |

Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map

Author 1: Mohammad Ahmar Khan Author 2: Jalaluddin Khan Author 3: Abdulrahman Abdullah Alghamdi Author 4: Sarah Mohammed Awadh Bait Saidan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 7 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0120750

Abstract

Chaotic systems with complicated characteristics of ergodicity, impredictability as well as sensitivity to beginning stages are commonly utilized in the world of cryptography. A 2D logistic-adjusted-sine (LS) map is implemented in this article. Performance assessments reveal superior ergodicity as well as unpredictable and even a broader spectrum of chaotics than numerous previous chaotic maps. This research also develops a 2D-LS-based image encryption system and proposed LS-IES. The notion of diffusion as well as confusion is properly complied with enabled encryption functions. Research outcomes as well as security analyses demonstrate that LS-IES can swiftly encrypting different parameters in various images with a great resistance towards security threats.

Keywords

How to Cite this Article

Khan, M. A., Khan, J., Alghamdi, A. A., & Saidan, S. M. A. B. (2021). Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map. International Journal of Advanced Computer Science and Applications, 12(7). https://doi.org/10.14569/IJACSA.2021.0120750

Khan, Mohammad Ahmar, et al.. "Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map." International Journal of Advanced Computer Science and Applications, vol. 12, no. 7, 2021, https://doi.org/10.14569/IJACSA.2021.0120750.

@article{Khan2021,
  title     = {Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {7},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Mohammad Ahmar Khan and Jalaluddin Khan and Abdulrahman Abdullah Alghamdi and Sarah Mohammed Awadh Bait Saidan},
  doi       = {10.14569/IJACSA.2021.0120750},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120750}
}

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