Physical layer security over wiretap channels with random parameters

Ziv Goldfeld, Paul Cuff, Haim H. Permuter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We study semantically secure communication over state dependent (SD) wiretap channels (WTCs) with non-causal channel state information (CSI) at the encoder. This model subsumes all other instances of CSI availability as special cases, and calls for an efficient utilization of the state sequence both for reliability and security purposes. A lower bound on the secrecy-capacity, that improves upon the previously best known result by Chen and Han Vinck, is derived based on a novel superposition coding scheme. The improvement over the Chen and Han Vinck result is strict for some SD-WTCs. Specializing the lower bound to the case where CSI is also available to the decoder reveals that it is at least as good as the achievable formula by Chia and El-Gamal, which is already known to outperform the adaptation of the Chen and Han Vinck code to the encoder and decoder CSI scenario. The results are derived under the strict semantic security metric that requires negligible information leakage for all message distributions. The proof of achievability relies on a stronger version of the soft-covering lemma for superposition codes. The lower bound is shown to be tight for a class of reversely less-noisy SD-WTCs, thus characterizing the fundamental limit of reliable a secure communication. An explicit coding scheme that includes a key extraction phase via the random state sequence is also proposed.

Original languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - 1st International Conference, CSCML 2017, Proceedings
EditorsShlomi Dolev, Sachin Lodha
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319600796
StatePublished - 1 Jan 2017
Event1st International Conference on Cyber Security Cryptography and Machine Learning, CSCML 2017 - Beer-Sheva, Israel
Duration: 29 Jun 201730 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10332 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Cyber Security Cryptography and Machine Learning, CSCML 2017

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Physical layer security over wiretap channels with random parameters'. Together they form a unique fingerprint.

Cite this