---
OA_type: closed access
_id: '18652'
abstract:
- lang: eng
  text: 'Over the last 70 years, information theory and coding has enabled communication
    technologies that have had an astounding impact on our lives. This is possible
    due to the match between encoding/decoding strategies and corresponding channel
    models. Traditional studies of channels have taken one of two extremes: Shannon-theoretic
    models are inherently average-case in which channel noise is governed by a memoryless
    stochastic process, whereas coding-theoretic (referred to as “Hamming”) models
    take a worst-case, adversarial, view of the noise. However, for several existing
    and emerging communication systems the Shannon/average-case view may be too optimistic,
    whereas the Hamming/worstcase view may be too pessimistic. This monograph takes
    up the challenge of studying adversarial channel models that lie between the Shannon
    and Hamming extremes.'
article_processing_charge: No
article_type: original
author:
- first_name: Bikash Kumar
  full_name: Dey, Bikash Kumar
  last_name: Dey
- first_name: Sidharth
  full_name: Jaggi, Sidharth
  last_name: Jaggi
- first_name: Michael
  full_name: Langberg, Michael
  last_name: Langberg
- first_name: Anand D.
  full_name: Sarwate, Anand D.
  last_name: Sarwate
- first_name: Yihan
  full_name: Zhang, Yihan
  id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
  last_name: Zhang
  orcid: 0000-0002-6465-6258
citation:
  ama: 'Dey BK, Jaggi S, Langberg M, Sarwate AD, Zhang Y. Codes for adversaries: Between
    worst-case and average-case jamming. <i>Foundations and Trends in Communications
    and Information Theory</i>. 2024;21(3-4):300-588. doi:<a href="https://doi.org/10.1561/0100000112">10.1561/0100000112</a>'
  apa: 'Dey, B. K., Jaggi, S., Langberg, M., Sarwate, A. D., &#38; Zhang, Y. (2024).
    Codes for adversaries: Between worst-case and average-case jamming. <i>Foundations
    and Trends in Communications and Information Theory</i>. Now Publishers. <a href="https://doi.org/10.1561/0100000112">https://doi.org/10.1561/0100000112</a>'
  chicago: 'Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate,
    and Yihan Zhang. “Codes for Adversaries: Between Worst-Case and Average-Case Jamming.”
    <i>Foundations and Trends in Communications and Information Theory</i>. Now Publishers,
    2024. <a href="https://doi.org/10.1561/0100000112">https://doi.org/10.1561/0100000112</a>.'
  ieee: 'B. K. Dey, S. Jaggi, M. Langberg, A. D. Sarwate, and Y. Zhang, “Codes for
    adversaries: Between worst-case and average-case jamming,” <i>Foundations and
    Trends in Communications and Information Theory</i>, vol. 21, no. 3–4. Now Publishers,
    pp. 300–588, 2024.'
  ista: 'Dey BK, Jaggi S, Langberg M, Sarwate AD, Zhang Y. 2024. Codes for adversaries:
    Between worst-case and average-case jamming. Foundations and Trends in Communications
    and Information Theory. 21(3–4), 300–588.'
  mla: 'Dey, Bikash Kumar, et al. “Codes for Adversaries: Between Worst-Case and Average-Case
    Jamming.” <i>Foundations and Trends in Communications and Information Theory</i>,
    vol. 21, no. 3–4, Now Publishers, 2024, pp. 300–588, doi:<a href="https://doi.org/10.1561/0100000112">10.1561/0100000112</a>.'
  short: B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, Y. Zhang, Foundations and
    Trends in Communications and Information Theory 21 (2024) 300–588.
corr_author: '1'
date_created: 2024-12-15T23:01:50Z
date_published: 2024-12-03T00:00:00Z
date_updated: 2024-12-16T10:38:44Z
day: '03'
department:
- _id: MaMo
doi: 10.1561/0100000112
intvolume: '        21'
issue: 3-4
language:
- iso: eng
month: '12'
oa_version: None
page: 300-588
publication: Foundations and Trends in Communications and Information Theory
publication_identifier:
  eissn:
  - 1567-2328
  issn:
  - 1567-2190
publication_status: published
publisher: Now Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Codes for adversaries: Between worst-case and average-case jamming'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 21
year: '2024'
...