A Chaotic Encryption Approach Improving Digital Image Security

Chenlei Zhang, Xinlin Li, Yuchen Luan, Wenjun Fan*

*Corresponding author for this work

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

Abstract

In recent years, as the security of image data information has become increasingly important, researchers have introduced chaos systems to study image encryption technology to ensure the reliable transmission of images. This article mainly discusses an image encryption scheme based on chaos systems, which combines a hyper-chaos system with DNA encoding and decoding operations. In this encryption algorithm, the image is divided into blocks for encryption, and the chaotic sequence generated by the chaos system determines the DNA encoding and decoding, and calculation methods of each image block. This improved encryption algorithm has extremely high key sensitivity, weak correlation of adjacent position data values, evenly distributed ciphertext image histogram, and strong anti-noise and anti-cropping capabilities, making it very suitable for digital image encryption.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages383-392
Number of pages10
ISBN (Electronic)9798350308693
DOIs
Publication statusPublished - 2023
Event15th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023 - Jiangsu, China
Duration: 2 Nov 20234 Nov 2023

Publication series

NameProceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023

Conference

Conference15th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023
Country/TerritoryChina
CityJiangsu
Period2/11/234/11/23

Keywords

  • Chen Hyperchaotic System
  • DNA Algorithm
  • Image Encryption
  • Logistic Mapping

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