Bidirectional Matrix-Graph Transformations for Secure Image Scrambling and Descrambling

The secrecy of data in encryption and decryption process is very important in this multimedia era. This paper introduces a novel scanning method to securely encrypt and decrypt data using a newly defined graph structure. Two key theorems are presented, illustrating the properties of scrambled and descrambled matrices, denoted by and corresponding to the graph. The proposed method is applied to digital images to demonstrate its effectiveness, providing a foundational understanding of this innovative approach

Authors

Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2025-03-22
DOI
https://doi.org/10.52783/anvi.v28.4521
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bidirectional Matrix-Graph Transformations for Secure Image Scrambling and Descrambling

Binoy Joseph
Advances in Nonlinear Variational Inequalities
Chaos-based Image/Signal Encryption
article

Bidirectional Matrix-Graph Transformations for Secure Image Scrambling and Descrambling

Binoy Joseph
article en

Abstract

The secrecy of data in encryption and decryption process is very important in this multimedia era. This paper introduces a novel scanning method to securely encrypt and decrypt data using a newly defined graph structure. Two key theorems are presented, illustrating the properties of scrambled and descrambled matrices, denoted by and corresponding to the graph. The proposed method is applied to digital images to demonstrate its effectiveness, providing a foundational understanding of this innovative approach

Advances in Nonlinear Variational InequalitiesVol. 28(7s)
Openalex Percentile: Top 95%
Chaos-based Image/Signal Encryption
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.