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DNA-chaos governed cryptosystem for cloud-based medical image repository

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Abstract

Nowadays, digital medical images have become an essential source for the grand success of e-health technology. At the same time, the massive storage also plays a vital role. One of cloud storage’s main objectives is the affordable and easily accessible storage of vast amounts of multi-structured data. The cloud paradigm gives an illusion of infinite storage of data. The future of Cyber-Physical Systems (CPS) relies upon technologies like cloud computing to thrive. However, the major lacuna is data security. This paper deals with the Confidentiality Integrity Availability (CIA) aspects required for cloud-based medical image repositories. Since it is for the medical image, the Region of Interest (RoI) is separated, and the integrity check is applied for RoI. A two-tier security for the medical image has been proposed, including an additional security layer for RoI. A 3-D Lorenz chaotic attractor has been used to generate the key where the keyspace is widely increased. Deoxyribonucleic Acid (DNA) based image diffusion in different stages of cryptosystem offered an average entropy of 7.98042 and a correlation of 0.002864 for RoI only and for ciphered medical image an average entropy of 7.99724 and a correlation of − 0.00063. Text encryption is performed over metadata to ensure the privacy of client authentication. Encrypted metadata and 320 bits have been generated for the RoI part embedded in an image’s Non-Region of Interest (NRoI) part in the random pixel indexes obtained using a 1D Tent map. This proposed approach also gives a Graphical User Interface developed using Python 3.8 to support non-technical persons or medical practitioners. The proposed security framework provides a complete CIA triad for medical image repositories in the cloud.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author upon reasonable request.

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Acknowledgements

Authors thank the Department of Science & Technology, New Delhi, for the FIST funding (SR/FST/ETI/2018/221(C)). Also, the authors wish to thank the Intrusion Detection Lab at School of Electrical & Electronics Engineering, SASTRA Deemed University, for providing infrastructural support to carry out this research work.

Funding

DST FIST FUND,SR/FST/ET-I/2018/221(C),SR/FST/ET-I/2018/221(C)

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Authors and Affiliations

  1. School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613401, India

    Nithya Chidambaram, K. Thenmozhi & Rengarajan Amirtharajan

  2. SRE Division, Reliance Jio Info Comm. Ltd. (RJIL), Bangalore, 560025, India

    Pethuru Raj

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  1. Nithya Chidambaram
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  2. K. Thenmozhi
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  4. Rengarajan Amirtharajan
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Contributions

CN: Conceptualisation, Methodology, Software, Data curation, Writing- Original draft preparation. PR: Validation, Visualisation, Investigation, Data curation, KT and RA: Validation, Supervision. Writing- Reviewing and Editing. All authors reviewed the manuscript.

Corresponding author

Correspondence to Rengarajan Amirtharajan.

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Chidambaram, N., Thenmozhi, K., Raj, P. et al. DNA-chaos governed cryptosystem for cloud-based medical image repository. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04391-w

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