Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map

Version 1 : Received: 6 February 2024 / Approved: 6 February 2024 / Online: 6 February 2024 (15:27:14 CET)

A peer-reviewed article of this Preprint also exists.

Riaz, M.; Dilpazir, H.; Naseer, S.; Mahmood, H.; Anwar, A.; Khan, J.; Benitez, I.B.; Ahmad, T. Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map. Information 2024, 15, 172. Riaz, M.; Dilpazir, H.; Naseer, S.; Mahmood, H.; Anwar, A.; Khan, J.; Benitez, I.B.; Ahmad, T. Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map. Information 2024, 15, 172.

Abstract

In the past few decades, the transmission of data over an unsecure channel resulted in an increased rate of hacking. Therefore, the requirement to make multimedia data more secure is increasing day by day. Numerous algorithms are developed to improve efficiency and robustness. In this article, a novel and secure image encryption algorithm is presented. It is based on a modified chaotic logistic map (CLM) that provides the advantage of having less computational time to encrypt an input image. The encryption algorithm is based on Shannon’s idea of using substitution-permutation and one-time-pad network to achieve ideal secrecy. The CLM is used for substitution and permutation to improve randomness and increase dependency on the encryption key. Various statistical tests are conducted, such as Key Space Analysis, Complexity Analysis, Sensitivity Analysis, Strict Avalanche Criteria (SAC), Histogram Analysis, Entropy Analysis, Mean of Absolute Deviation (MAD) Analysis, Correlation Analysis, Contrast Analysis, and Homogeneity to give a comparative analysis of the proposed algorithm and verify its security. As a result of various statistical tests, it is evident that the proposed algorithm is more efficient and robust as compared to previous ones.

Keywords

Image Encryption; Data Security; Chaotic Logistic Map, Substitution-permutation Network

Subject

Computer Science and Mathematics, Computer Vision and Graphics

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