MURAL - Maynooth University Research Archive Library

    Image encryption using finite-precision error

    Nardo, Lucas G. and Nepomuceno, Erivelton and Arias-Garcia, Janier and Butusov, Denis N. (2019) Image encryption using finite-precision error. Chaos, Solitons & Fractals, 123. pp. 69-78. ISSN 0960-0779

    Download (3MB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    Chaotic systems are broadly adopted to generate pseudo-random numbers used in encryption schemes. However, when implemented on a finite precision computer, chaotic systems end up in dynamical degradation of chaotic properties. Many works have been proposed to address this issue. Nevertheless, little attention has been paid to exploit the finite precision as a source of randomness rather a feature that should be mitigated. This paper proposes a novel plain-image encryption using finite-precision error. The error is obtained by means of the implementation of a chaotic system using two natural different interval extensions. The generated sequence has passed all NIST test, which means it has sufficient randomness to be used in encryption. Several benchmark images have been effectively encrypted using the proposed approach.

    Item Type: Article
    Keywords: Image encryption; Finite-precision error; Natural interval extension; Lower bound error; Computer arithmetic; NIST tests;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16731
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 22 Nov 2022 12:35
    Journal or Publication Title: Chaos, Solitons & Fractals
    Publisher: Elsevier
    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

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads