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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| Vydáno v: | IEEE transactions on vehicular technology Ročník 68; číslo 6; s. 6137 - 6141 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9545, 1939-9359 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Piechocki, Robert J. Tassi, Andrea Nix, Andrew |
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| Cites_doi | 10.1109/TCOMM.2018.2801791 10.1017/CBO9780511977985 10.1109/TVT.2018.2790436 10.1109/LCOMM.2014.030914.140030 10.1109/TIT.2008.921908 10.1109/LCOMM.2015.2470662 10.1109/TCOMM.2015.2503398 10.1109/TIT.1978.1055917 |
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| SubjectTerms | Approximation Coding Encoding Feedback intercept probability Jamming Mathematical analysis Network coding Optimization Physical layer security Receivers Reliability secrecy outage probability Sparse random network coding |
| Title | On Intercept Probability Minimization Under Sparse Random Linear Network Coding |
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