Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An efficient image cipher based on the 1D scrambled image and 2D logistic chaotic map

Authors
Iqbal, NadeemHussain, IbrarKhan, Muhammad AdnanAbbas, SagheerYousaf, Shahid
Issue Date
Nov-2023
Publisher
SPRINGER
Keywords
1D scrambled image; Encryption; Decryption; Image processing; 2D chaotic map
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v.82, no.26, pp 40345 - 40373
Pages
29
Journal Title
MULTIMEDIA TOOLS AND APPLICATIONS
Volume
82
Number
26
Start Page
40345
End Page
40373
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89493
DOI
10.1007/s11042-023-15037-1
ISSN
1380-7501
1573-7721
Abstract
Researchers have paid increasing attention towards the usage of scrambled image for the image encryption in recent years. 2D and 3D scrambled images have already been employed to write the different image encryption algorithms. On the other hand, we need speedy and efficient ciphers to meet the rising demands of our society. The current study has used 1D scrambled image to develop a novel and a speedy image encryption algorithm. As the gray scale image is given to the encryption algorithm, its pixels are inserted randomly to the different positions of the scrambled image. This act has been iterated for a number of times. To throw the diffusion effects in the proposed cipher, Exclusive-OR (XOR) operation has been carried out. 2D logistic map has been selected for the chaotic vectors. First vector served the purpose of scrambling and the second one, the purpose of diffusion. The average time taken by the proposed image cipher is 0.0997 seconds, the information entropy of the cipher image came out to be 7.9975 and the number of pixels change rate (NPCR) is 99.6048%. Simulation and an exhaustive performance analyses depict that the proposed scheme has the desirable security effects and has the prospects for some real world application.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Khan, Muhammad Adnan photo

Khan, Muhammad Adnan
College of IT Convergence (Department of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE