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Enhanced hybrid image security algorithms for high definition images in multiple applications

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Abstract

Protection of multimedia information from different types of attackers has become important for people and governments. A high definition image has a large amount of data, and thus, keeping it secret is difficult. Another challenge that security algorithms must face with respect to high definition images in medical and remote sensing applications is pattern appearances, which results from existing regions with high density in the same color, such as background regions. An encryption and hiding based new hybrid image security systems are proposed in this paper for the purpose of keeping high definition images secret. First, one hiding method and two encryption methods are used in two hybrid algorithms. The new hiding algorithm proposed here starts by applying reordering and scrambling operations to the six Most Significant Bit planes of the secret image, and then, it hides them in an unknown scene cover image using adding or subtracting operations. Second, two different ciphering algorithms are used to encrypt the stego-image to obtain two different hybrid image security systems. The first encryption algorithm is based on binary code decomposition, while the second algorithm is a modification of an advanced encryption standard. After evaluating each hybrid algorithm alone, a comparison between the two hybrid systems is introduced to determine the best system. Several parameters were used for the performance, including the visual scene, histogram analysis, entropy, security analysis, and execution time.

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Acknowledgements

The authors would like to thank the editor-in-chief and anonymous reviewers for helpful comments and suggestions that improved the quality and readability of the paper. The authors would also like to thank The Advanced Engineering Centre in Faculty of Engineering and Built Environment, The National University of Malaysia (UKM) for supporting this work under Grant number UKM-GUP-2014-060. Also the corresponding author would like to thanks the Al-Furat Al-Awsat Technical University for supporting him by 7-17-20066 Grant scholarship.

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Authors and Affiliations

  1. Department of Communications Techniques Engineering, Engineering Technical College-Najaf, Al-Furat Al Awsat Technical University, Najaf, Iraq

    Salim Muhsin Wadi

  2. Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, National University of Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

    Nasharuddin Zainal

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  1. Salim Muhsin Wadi
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  2. Nasharuddin Zainal
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Correspondence to Salim Muhsin Wadi.

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I am Corresponding Author Salim M, Wadi, I read the Committee on Publication Ethics (COPE) and I promise that my research is meets all COPE requirements. Also I promise that, this paper don’t have any disclosure of potential conflicts of interest and don’t involving human participants and/or animals.

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Wadi, S.M., Zainal, N. Enhanced hybrid image security algorithms for high definition images in multiple applications. Multidim Syst Sign Process 29, 1989–2012 (2018). https://doi.org/10.1007/s11045-017-0541-5

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  • DOI: https://doi.org/10.1007/s11045-017-0541-5

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