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    Quantifying Computational Security Subject to Source Constraints, Guesswork and Inscrutability

    Beirami, Ahmad and Calderbank, Robert and Duffy, Ken R. and Medard, Muriel (2015) Quantifying Computational Security Subject to Source Constraints, Guesswork and Inscrutability. In: IEEE International Symposium on Information Theory (ISIT), 2015. IEEE, pp. 2757-2761. ISBN 9781467377041

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    Guesswork forms the mathematical framework for quantifying computational security subject to brute-force determination by query. In this paper, we consider guesswork subject to a per-symbol Shannon entropy budget. We introduce inscrutability rate as the asymptotic rate of increase in the exponential number of guesses required of an adversary to determine one or more secret strings. We prove that the inscrutability rate of any string-source supported on a finite alphabet χ, if it exists, lies between the per-symbol Shannon entropy constraint and log |χ|. We further prove that the inscrutability rate of any finite-order Markov string-source with hidden statistics remains the same as the unhidden case, i.e., the asymptotic value of hiding the statistics per each symbol is vanishing. On the other hand, we show that there exists a string-source that achieves the upper limit on the inscrutability rate, i.e., log |χ|, under the same Shannon entropy budget.

    Item Type: Book Section
    Keywords: Large deviations; Brute-force attack; Guesswork; Inscrutability; Rényi entropy; Universal methods;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 9111
    Identification Number:
    Depositing User: Dr Ken Duffy
    Date Deposited: 03 Jan 2018 16:49
    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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