On the Performance Analysis of IDLP and SpaceMac for Network Coding-enabled Mobile Small Cells

Reza Parsamehr, George Mantas, Jonathan Rodriguez, José-Fernan Orgtega

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Network coding (NC)-enabled mobile small cells are observed as a promising technology for 5G networks in a cost-effective and energy-efficient manner. The NC-enabled environment suffers from pollution attacks where malicious
    intermediate nodes manipulate packets in transition. Detecting the polluted packets as well as identifying the exact location of malicious users are equally important tasks for these networks. SpaceMac [1] is one of the most competitive mechanisms in the literature for detecting pollution attacks and identifying the
    exact location of attackers in RLNC. In this paper, we compare SpaceMac with the IDLP mechanism presented in [2]. Both mechanisms have been implemented in KODO and they are compared in terms of computational complexity, computational overhead, communication overhead and decoding probability.
    The performance evaluation results demonstrated that IDLP is more efficient than SpaceMac while at the same time is more secure as shown through the security analysis part in this paper.
    Original languageEnglish
    Article number9210066
    Pages (from-to)407-411
    Number of pages5
    JournalIEEE Communications Letters
    Volume25
    Issue number2
    DOIs
    Publication statusPublished - 1 Sep 2020

    Keywords

    • 5G
    • Network coding
    • intrusion detection
    • location-Aware prevention
    • pollution attacks

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