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On the novel image encryption based on chaotic system and DNA computing

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Abstract

A new image encryption scheme is presented based on the chaotic system and the swapping operations of the pixels both at the decimal and DNA levels. By randomly choosing two arrays of the given input image for a number of times, randomly chosen pixels of these two arrays are swapped with each other. Same operation is performed on the two randomly chosen columns to get the scrambled image. Next, an XOR operation is performed between the scrambled image and the key stream of random data given by the chaotic system. Further, both the image data and the streams of random numbers are DNA-encoded. Again, the DNA-encoded pixels data are scrambled the way, scrambling was performed on the decimal data but with the different key streams of random numbers. To realize the effects of diffusion at the DNA level, the DNA-encoded scrambled pixels data and the DNA-encoded key stream are XORed with each other. Finally, the DNA-encoded data is translated back into its decimal equivalent. SHA-256 hash codes for the given input image have been used in the proposed cipher in order to achieve the plaintext sensitivity. The simulation and the performance analysis portray the good security effects, defiance to the varied threats and the bright prospects for the real world application of the proposed cipher.

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Author information

Authors and Affiliations

  1. Department of Computer Science and IT, University of Lahore, Lahore, Pakistan

    Nadeem Iqbal

  2. Faculty of Computing, Riphah International University, Malakand Campus, Islamabad, Pakistan

    Muhammad Hanif

  3. Department of Computer Science, Bahria University, (Lahore Campus), Lahore, Pakistan

    Zia Ul Rehman

  4. School of Computing and Information Sciences, Imperial College of Business Studies, Lahore, Pakistan

    Muhammad Zohaib

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  1. Nadeem Iqbal
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  2. Muhammad Hanif
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  4. Muhammad Zohaib
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Correspondence to Nadeem Iqbal.

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Iqbal, N., Hanif, M., Rehman, Z.U. et al. On the novel image encryption based on chaotic system and DNA computing. Multimed Tools Appl 81, 8107–8137 (2022). https://doi.org/10.1007/s11042-022-11912-5

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  • DOI: https://doi.org/10.1007/s11042-022-11912-5

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