Skip to main navigation Skip to search Skip to main content

Cryptanalysis of a chaotic neural network based multimedia encryption scheme

  • Chengqing Li
  • , Shujun Li*
  • , Dan Zhang
  • , Guanrong Chen
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Recently, Yen and Guo proposed a chaotic neural network (CNN) for signal encryption, which was suggested as a solution for protection of digital images and videos. The present paper evaluates the security of this CNN-based encryption scheme, and points out that it is not secure from the cryptographical point of view: 1) it can be easily broken by known/chosen-plaintext attacks; 2) its security against the brute-force attack was much over-estimated. Some experiments are shown to support the results given in this paper. It is also discussed how to improve the encryption scheme. © Springer-Verlag 2004.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2004
Subtitle of host publication5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004, Proceedings, Part III
EditorsKiyoharu Aizawa, Yuichi Nakamura, Shin’ichi Satoh
Place of PublicationBerlin, Heidelberg
PublisherSpringer 
Pages418-425
ISBN (Electronic)978-3-540-30543-9
ISBN (Print)978-3-540-23985-7
DOIs
Publication statusPublished - 2004
Event5th Pacific Rim Conference on Multimedia (PCM 2004) - Tokyo, Japan
Duration: 30 Nov 2004 → 3 Dec 2004

Publication series

NameLecture Notes in Computer Science
Volume3333
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Pacific Rim Conference on Multimedia (PCM 2004)
PlaceJapan
CityTokyo
Period30/11/04 → 3/12/04

Fingerprint

Dive into the research topics of 'Cryptanalysis of a chaotic neural network based multimedia encryption scheme'. Together they form a unique fingerprint.

Cite this