New directions in information theoretic security: Benefits of bidirectional signaling

Aylin Yener

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


    The past decade has witnessed significant effort towards establishing reliable and information theoretically secure rates in communication networks, taking advantage of the properties of the communication medium. Such efforts include those in the wireless medium where simultaneous transmissions and the ensuing interference can prove advantageous from an information theoretic secrecy point of view. With the goal of obtaining a secrecy rate that scales with transmit power, structured signaling with simultaneous favorable signal alignment at the legitimate receiver(s) and unfavorable signal alignment at the eavesdropper(s) has proven particularly useful in multi-terminal Gaussian channels. Many challenges remain however in realizing the vision of absolute security provided by the wireless physical layer including handling more realistic models. In this paper, we provide a brief overview of the state of the art, the forward look and argue for an additional asset that could be utilized for secrecy, i.e., bidirectional signaling. Taking the bidirectional wiretap channel as an example, Gaussian signaling is demonstrated to be as good as structured signaling from the degrees of freedom point of view, while observed to be performing better with finite transmit power. Moreover, taking bidirectional signals explicitly into account for encoding performs even better and provides a way forward to synergistically combine physical layer based secrecy and encryption.

    Original languageEnglish (US)
    Title of host publication2015 IEEE Information Theory Workshop, ITW 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479955268
    StatePublished - Jun 24 2015
    Event2015 IEEE Information Theory Workshop, ITW 2015 - Jerusalem, Israel
    Duration: Apr 26 2015May 1 2015

    Publication series

    Name2015 IEEE Information Theory Workshop, ITW 2015


    Other2015 IEEE Information Theory Workshop, ITW 2015

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Computer Networks and Communications
    • Information Systems
    • Computational Theory and Mathematics


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