A medical image encryption scheme based on Mobius transformation and Galois field.

Correlation Encryption Entropy Mobius transformation Substitution box primary, 94A60 secondary, 68P25

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
15 Jan 2024
Historique:
received: 20 08 2023
revised: 04 11 2023
accepted: 08 12 2023
medline: 9 1 2024
pubmed: 9 1 2024
entrez: 9 1 2024
Statut: epublish

Résumé

Data security and privacy are considered to be the biggest problems faced by service providers who have worked with public data for a long time. A key element of modern encryption that is utilized to increase textual confusion is the Substitution box (S-box) and the algebraic strength of the S-box has a significant impact on how secure the encryption method is. In this article, we present a unique method that uses a linear fractional transformation on a finite field to produce cryptographically robust S-boxes. Firstly, we choose a specific irreducible polynomial of degree 8 in

Identifiants

pubmed: 38192806
doi: 10.1016/j.heliyon.2023.e23652
pii: S2405-8440(23)10860-7
pmc: PMC10772117
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e23652

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Javed Ali (J)

Department of Mathematics, Riphah International University, Lahore, Pakistan.

Muhammad Kamran Jamil (MK)

Department of Mathematics, Riphah International University, Lahore, Pakistan.

Amal S Alali (AS)

Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrehman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia.

Rashad Ali (R)

Department of Mathematics, Riphah International University, Lahore, Pakistan.
Department of Mathematics, Riphah International University, Lahore, Pakistan.

Classifications MeSH