Text Encryption with Graph Theory Based Key Generation

This work presents a new encryption technique that ensures safe communication through two distinct phases: utilizing monoalphabetic substitution ciphers that rely on agreed-upon character-swapping arrangements between authorized individuals and applying an alphabetical encryption table. In addition, the research utilizes the Kurskal technique to calculate the minimum spanning tree, which improves security by creating intricate encrypted text using a shared key based on ideas drawn from graph theory.

Authors

Institutions

Publication Details

Journal
Journal of Al-Qadisiyah for Computer Science and Mathematics
Published
2024-09-30
DOI
https://doi.org/10.29304/jqcsm.2024.16.31650
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Text Encryption with Graph Theory Based Key Generation

Karrar Khudhair Obayes
1 citations
Journal of Al-Qadisiyah for Computer Science and Mathematics
DNA and Biological Computing
0.23
article

Text Encryption with Graph Theory Based Key Generation

Karrar Khudhair Obayes
article en
1 citations

Abstract

This work presents a new encryption technique that ensures safe communication through two distinct phases: utilizing monoalphabetic substitution ciphers that rely on agreed-upon character-swapping arrangements between authorized individuals and applying an alphabetical encryption table. In addition, the research utilizes the Kurskal technique to calculate the minimum spanning tree, which improves security by creating intricate encrypted text using a shared key based on ideas drawn from graph theory.

Journal of Al-Qadisiyah for Computer Science and MathematicsVol. 16(3)
University of Al-Qadisiyah (IQ)
Quality Education
Openalex Percentile: Top 42%
DNA and Biological Computing
0.23
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.