Image Encryption Method Using New Concept of Compound Blood Transfusion Rule with Multiple Chaotic Maps.

Blood transfusion rule (BTR) NPCR chaotic function decryption encryption image real-time

Journal

Current medical imaging
ISSN: 1573-4056
Titre abrégé: Curr Med Imaging
Pays: United Arab Emirates
ID NLM: 101762461

Informations de publication

Date de publication:
2020
Historique:
received: 11 02 2018
revised: 20 11 2018
accepted: 13 12 2018
entrez: 21 10 2020
pubmed: 22 10 2020
medline: 27 10 2021
Statut: ppublish

Résumé

With the advancement in internet technology, a large amount of information in the form of data and image is transferred from one end to the other. The information may be military, defense, medical, etc. which should be kept confidential by providing security. The aim of this article will be to provide security to the image. This is achieved by applying the image encryption method which converts the original information into an unreadable format. This work explores an efficient way of image encryption using a chaotic logistic function. A set of two chaotic logistic functions and 256 bit long external secret key are employed to enhance the security in the encrypted images. The initial condition of first logistic function has been obtained by providing the suitable weights to all bits of the secret key. The initial condition of second logistic function has been derived from the first chaotic logistic function. In this proposed algorithm, ten different operations are used to encrypt the pixel of an image. The outcome of the second logistic map decides the operation to be used in the encryption of the particular image pixel. Various statistical parameters like NPCR, UACI and information entropy were calculated. Results show that the proposed algorithm provides an image encryption method with better security and efficiency for all real-time applications such as medical images.

Identifiants

pubmed: 33081664
pii: CMIR-EPUB-95517
doi: 10.2174/1573405615666190101110751
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1034-1043

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Ranu Gupta (R)

Department of Electronics and Communication, Jaypee University of Engineering and Technology, Raghogarh, Guna (M.P.) 473226, India
Department of Electronics and Communication, Thapar Institute of Engineering and Technology University, Patiala, 147004, India

Rahul Pachauri (R)

Department of Electronics and Communication, Thapar Institute of Engineering and Technology University, Patiala, 147004, India

Ashutosh Kumar Singh (AK)

Department of Electronics and Communication, Jaypee University of Engineering and Technology, Raghogarh, Guna (M.P.) 473226, India

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature
Cephalometry Humans Anatomic Landmarks Software Internet
Humans Algorithms Software Artificial Intelligence Computer Simulation

Classifications MeSH