Rateless and pollution-attack-resilient network coding

Wentao Huang, Ting Wang, Xin Hu, Jiyong Jang, Theodoros Salonidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Consider the problem of reliable multicast over a network in the presence of adversarial errors. In contrast to traditional network error correction codes designed for a given network capacity and a given number of errors, we study an arguably more realistic setting that prior knowledge on the network and adversary parameters is not available. For this setting we propose efficient and throughput-optimal error correction schemes, provided that the source and terminals share randomness that is secret form the adversary. We discuss an application of cryptographic pseudorandom generators to efficiently produce the secret randomness, provided that a short key is shared between the source and terminals. Finally we present a secure key distribution scheme for our network setting.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2623-2627
Number of pages5
ISBN (Electronic)9781467377041
DOIs
StatePublished - Sep 28 2015
EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
Duration: Jun 14 2015Jun 19 2015

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2015-June
ISSN (Print)2157-8095

Other

OtherIEEE International Symposium on Information Theory, ISIT 2015
CountryHong Kong
CityHong Kong
Period6/14/156/19/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Huang, W., Wang, T., Hu, X., Jang, J., & Salonidis, T. (2015). Rateless and pollution-attack-resilient network coding. In Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015 (pp. 2623-2627). [7282931] (IEEE International Symposium on Information Theory - Proceedings; Vol. 2015-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2015.7282931