Bounds for Binary Multimedia Codes with the Identifiable Parent Property

Hongna Yang, Yujie Gu, Yiwei Zhang

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

Abstract

Multimedia codes with the identifiable parent property (MIPPCs) were proposed to resist collusion attacks for multimedia fingerprinting. However, the largest possible code rate of binary MIPPCs is far from being understood yet. In this paper, we aim to establish lower and upper bounds for the largest code rate of binary MIPPCs. To that end, we introduce a new concept of locally thin and fat families (LTFFs) and establish relationships between LTFFs and binary MIPPCs. Accordingly, new lower and upper bounds for binary MIPPCs and LTFFs are derived by means of the probabilistic method and combinatorial techniques. In particular, the order of magnitude for the largest rate of binary MIPPCs is determined. It is shown that the code rate of binary MIPPCs outperforms other existing binary fingerprinting codes (e.g. binary separable codes) as well.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2434-2439
Number of pages6
ISBN (Electronic)9781665475549
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan, Province of China
Duration: Jun 25 2023Jun 30 2023

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
Country/TerritoryTaiwan, Province of China
CityTaipei
Period6/25/236/30/23

All Science Journal Classification (ASJC) codes

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

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