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On Intercept Probability Minimization under Sparse Random Linear Network\n Coding

2018/11/21 by Andrea Tassi, Tassi, Andrea, Robert J. Piechocki +3 · 1 citation
Engineering · Computer Science · #Wireless Communication Security Techniques #Cooperative Communication and Network Coding

paper · pdf · doi:10.48550/arxiv.1811.08644

Abstract

This paper considers a network where a node wishes to transmit a source\nmessage to a legitimate receiver in the presence of an eavesdropper. The\ntransmitter secures its transmissions employing a sparse implementation of\nRandom Linear Network Coding (RLNC). A tight approximation to the probability\nof the eavesdropper recovering the source message is provided. The proposed\napproximation applies to both the cases where transmissions occur without\nfeedback or where the reliability of the feedback channel is impaired by an\neavesdropper jamming the feedback channel. An optimization framework for\nminimizing the intercept probability by optimizing the sparsity of the RLNC is\nalso presented. Results validate the proposed approximation and quantify the\ngain provided by our optimization over solutions where non-sparse RLNC is used.\n

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