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    Study of imperfect keys to characterise the security of optical encryption

    Zhang, Lingfei and Naughton, Thomas J. (2017) Study of imperfect keys to characterise the security of optical encryption. In: Irish Machine Vision and Image Processing Conference Proceedings 2017. Irish Pattern Recognition & Classification Society, pp. 202-210. ISBN 978-0-9934207-2-6

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    In conventional symmetric encryption, it is common for the encryption/decryption key to be reused for multiple plaintexts. This gives rise to the concept of a known-plaintext attack. In optical image encryption systems, such as double random phase encoding (DRPE), this is also the case; if one knows a plaintext-ciphertext pair, one can carry out a known-plaintext attack more efficiently than a brute-force attack, using heuristics based on phase retrieval or simulated annealing. However, we demonstrate that it is likely that an attacker will find an imperfect decryption key using such heuristics. Such an imperfect key will work for the known plaintext-ciphertext pair, but not an arbitrary unseen plaintext-ciphertext pair encrypted using the original key. In this paper, we illustrate the problem and attempt to characterise the increase in security it affords optical encryption.

    Item Type: Book Section
    Additional Information: This paper was presented at the 19th Irish Machine Vision and Image Processing conference (IMVIP 2017) Aug 30th-Sept 1st, 2017, Maynooth, Ireland.
    Keywords: Optical information processing; Optical image processing; Optical image encryption;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 12039
    Depositing User: Thomas Naughton
    Date Deposited: 18 Dec 2019 11:27
    Publisher: Irish Pattern Recognition & Classification Society
    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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