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A novel image encryption algorithm based on multiple chaotic systems and self-adaptive model

  • Beihang University

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

Abstract

In recent years, image encryption has attracted much attention. Particularly, due to large data capacity and high correlation among pixels, chaos-based image encryption algorithms are more suitable to be applied in the digital image encryption. In this paper, we propose a novel chaotic image encryption algorithm, in which novel multiple chaotic systems and efficient self-adaptive model are initially mingled to enhance the security. Different from conventional algorithms, plaintext participates in the generation of cryptograph in a new way, which follows the idea from the perceptron model. The proposed algorithm enlarges the key space, enhances the randomness of the algorithm, and resists the differential attack effectively. Simulation results are demonstrated that proposed algorithm possesses the high security for the main current attacks, which is an excellent candidate for practical applications of image encryption.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Communications, Signal Processing, and Systems
EditorsJiasong Mu, Wei Wang, Baoju Zhang, Qilian Liang
PublisherSpringer Verlag
Pages677-685
Number of pages9
ISBN (Print)9783662498293
DOIs
StatePublished - 2016
Event4th International Conference on Communications, Signal Processing, and Systems, CSPS 2015 - Chengdu, Sichuan, China
Duration: 23 Oct 201524 Oct 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume386
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Communications, Signal Processing, and Systems, CSPS 2015
Country/TerritoryChina
CityChengdu, Sichuan
Period23/10/1524/10/15

Keywords

  • Image encryption
  • Multiple chaotic systems
  • Perceptron model
  • Self-adaptive model

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