Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map

Author:

Riaz Mamoon1,Dilpazir Hammad2,Naseer Sundus1,Mahmood Hasan1,Anwar Asim3,Khan Junaid4ORCID,Benitez Ian B.5ORCID,Ahmad Tanveer6ORCID

Affiliation:

1. Department of Electronics, Quaid-i-Azam University, Islamabad 45320, Pakistan

2. Department of Electrical Engineering, National University of Modern Languages, Islamabad 44000, Pakistan

3. Department of Technology, The University of Lahore, Lahore 54000, Pakistan

4. Department of Environmental & IT Engineering, Chungnam National University, Daejeon 34134, Republic of Korea

5. Electrical Engineering Department, College of Engineering, FEU Institute of Technology, Manila 1015, Philippines

6. Department of Computer Science, University of Cyprus & CYENS Centre of Excellence, Nicosia 20537, Cyprus

Abstract

In the past few decades, the transmission of data over an unsecure channel has resulted in an increased rate of hacking. The requirement to make multimedia data more secure is increasing day by day. Numerous algorithms have been developed to improve efficiency and robustness in the encryption process. 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 taking less computational time to encrypt an input image. The encryption algorithm is based on Shannon’s idea of using a 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 keyspace 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.

Publisher

MDPI AG

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