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    Stochastic Geometry-Based Comparison of Secrecy Enhancement Techniques in D2D Networks


    Kishk, Mustafa A. and Dhillon, Harpreet S. (2017) Stochastic Geometry-Based Comparison of Secrecy Enhancement Techniques in D2D Networks. IEEE Wireless Communications Letters, 6 (3). pp. 394-397. ISSN 2162-2337

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    Abstract

    This letter presents a performance comparison of two popular secrecy enhancement techniques in wireless networks: 1) creating guard zones by restricting transmissions of legitimate transmitters whenever any eavesdropper is detected in their vicinity, and 2) adding artificial noise to the confidential messages to make it difficult for the eavesdroppers to decode them. Focusing on a noise-limited regime, we use tools from stochastic geometry to derive the secrecy outage probability at the eavesdroppers as well as the coverage probability at the legitimate users for both these techniques. Using these results, we derive a threshold on the density of the eavesdroppers below which no secrecy enhancing technique is required to ensure a target secrecy outage probability. For eavesdropper densities above this threshold, we concretely characterize the regimes in which each technique outperforms the other. Our results demonstrate that guard zone technique is better when the distances between the transmitters and their legitimate receivers are higher than a certain threshold.
    Item Type: Article
    Keywords: Stochastic geometry; physical layer security; Poisson point process; secrecy outage; coverage probability;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 17005
    Identification Number: 10.1109/LWC.2017.2696537
    Depositing User: Mustafa Kishk
    Date Deposited: 08 Mar 2023 14:40
    Journal or Publication Title: IEEE Wireless Communications Letters
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/17005
    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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