A new multiple access wiretap channel model

Mohamed Nafea, Aylin Yener

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations


    A new model for the two-user multiple-access wiretap channel is considered. In this model, the legitimate (main) channel is a discrete memoryless channel (DMC), and the wiretapper chooses a fixed-length subset of the channel uses where she has perfect access to the transmitted symbols of the both users, while observing the remainder of the transmitted codewords through a second DMC. As such, it generalizes the existing multiple-access wiretap channel models and extends the recently proposed new wiretap channel model to a multiple access setting. An achievable strong secrecy rate region for the model is derived. The achievability is established by solving a dual multi-terminal secret key agreement problem in the source model, where two independent sources are communicating confidential keys to a common decoder over a public channel in the presence of a compound wiretapping source. The secrecy of the two keys in the dual source model is established by deriving a lemma which provides a doubly exponential convergence rate for the probability of the keys being uniform and independent from the public discussion and the wiretapping source observation.

    Original languageEnglish (US)
    Title of host publication2016 IEEE Information Theory Workshop, ITW 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages5
    ISBN (Electronic)9781509010905
    StatePublished - Oct 21 2016
    Event2016 IEEE Information Theory Workshop, ITW 2016 - Cambridge, United Kingdom
    Duration: Sep 11 2016Sep 14 2016

    Publication series

    Name2016 IEEE Information Theory Workshop, ITW 2016


    Other2016 IEEE Information Theory Workshop, ITW 2016
    Country/TerritoryUnited Kingdom

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems
    • Software
    • Signal Processing

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