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    Improving Chaotic Image Encryption Using Maps with Small Lyapunov Exponents

    Santos, Thiago A. and Magalhaes, Eduardo P. and Basilio, Nayara P. and Nepomuceno, Erivelton and Karimov, Timur I. and Butusov, Denis N. (2020) Improving Chaotic Image Encryption Using Maps with Small Lyapunov Exponents. In: 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT). IEEE, pp. 1-4.

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    Chaos-based encryption is one of the promising cryptography techniques that can be used. Although chaos-based encryption provides excellent security, the finite precision of number representation in computers affects decryption accuracy negatively. In this paper, a way to mitigate some problems regarding finite precision is analyzed. We show that the use of maps with small Lyapunov exponents can improve the performance of chaotic encryption scheme, making it suitable for image encryption.

    Item Type: Book Section
    Keywords: encryption; chaotic systems; finite precision; lower bound error; largest Lyapunov exponent; Shannon entropy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16858
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 16 Jan 2023 16:45
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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