On Intercept Probability Minimization Under Sparse Random Linear Network Coding

This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of random linear network coding (RLNC). A tight approximation to the probability of...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 68; no. 6; pp. 6137 - 6141
Main Authors: Tassi, Andrea, Piechocki, Robert J., Nix, Andrew
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Approximation
Coding
Encoding
Feedback
intercept probability
Jamming
Mathematical analysis
Network coding
Optimization
Physical layer security
Receivers
Reliability
secrecy outage probability
Sparse random network coding
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of random linear network coding (RLNC). A tight approximation to the probability of the eavesdropper recovering the source message is provided. The proposed approximation applies to both the cases where transmissions occur without feedback, or where the reliability of the feedback channel is impaired by an eavesdropper jamming the feedback channel. An optimization framework for minimizing the intercept probability by optimizing the sparsity of the RLNC is also presented. Results validate the proposed approximation and quantify the gain provided by our optimization over solutions where non-sparse RLNC is used.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2907290