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Fuzzy extractor and chaos enhanced elliptic curve cryptography for image encryption and authentication

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Abstract

This paper proposes a novel method for secure image encryption and authentication based upon fuzzy extractor driven Elliptic Curve key exchange scheme. Use of fuzzy extractor facilitates both parties to authenticate each other without disclosing their original biometric information. The image encryption is achieved using a shared key in two steps. In the first step, we use a novel Cosine Transform based Chaos System to generate a pseudo- random chaos sequence over a dynamic range. In the second step, this chaos sequence along with Elliptic curve-based encryption is used in code block cipher mode to get the cipher image. To authenticate the encrypted image, an easily computable and verifiable digital signature scheme based on fuzzy extractor and Elliptic curve cryptography has been proposed. The proposed encryption is computationally efficient as it does not need an exclusive encoding of plain image pixels to Elliptic curve points. Results and analysis show that our scheme is resilient to different kinds of security attacks particularly differential attacks. The proposed scheme results in a random cipher image with high entropy and very low inter-pixel correlation at a low computational cost and encryption time.

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Funding

The authors have no relevant financial or non-financial interests to disclose. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

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  1. School of Engineering and Technology, IUST, Awantipora, J&K, 192122, India

    Jasra Bhat , Manasha Saqib & Ayaz Hassan Moon

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  1. Jasra Bhat
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  2. Manasha Saqib
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  3. Ayaz Hassan Moon
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Correspondence to Jasra Bhat .

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Bhat , J., Saqib, M. & Moon, A.H. Fuzzy extractor and chaos enhanced elliptic curve cryptography for image encryption and authentication. Int J Syst Assur Eng Manag 13, 697–712 (2022). https://doi.org/10.1007/s13198-021-01330-5

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  • DOI: https://doi.org/10.1007/s13198-021-01330-5

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