Hybrid affine cipher and eigenvector methods for cryptography

This paper systematically presents a specific application of linear algebra in information security and cryptography, highlighting the crucial role of matrix operations and linear techniques in the design and analysis of encryption algorithms. Specifically, we focus on a method that utilizes linear algebra to enhance the security and efficiency of modern cryptographic systems. A detailed illustrative example is provided to help readers better understand how these mathematical tools are applied in practice. Furthermore, we review existing encryption techniques and propose a new matrix-based scheme that leverages linear algebra to improve data security, optimize the encryption-decryption process, and ensure the integrity and confidentiality of information throughout transmission and storage.

Authors

Institutions

Publication Details

Journal
HPU2 Journal of Science Natural Sciences and Technology
Published
2024-12-30
DOI
https://doi.org/10.56764/hpu2.jos.2024.3.3.80-87
Citations
1
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid affine cipher and eigenvector methods for cryptography

Anh-Thang Le, Van-Dong Vu, Thanh-Huyen Pham Thi, Mai-Thanh Hoang Thi et al.
1 citations
HPU2 Journal of Science Natural Sciences and Technology
Coding theory and cryptography
0.35
article

Hybrid affine cipher and eigenvector methods for cryptography

Anh-Thang Le, Van-Dong Vu, Thanh-Huyen Pham Thi, Mai-Thanh Hoang Thi, Bich-Ngoc Nguyen Thi
article en
1 citations

Abstract

This paper systematically presents a specific application of linear algebra in information security and cryptography, highlighting the crucial role of matrix operations and linear techniques in the design and analysis of encryption algorithms. Specifically, we focus on a method that utilizes linear algebra to enhance the security and efficiency of modern cryptographic systems. A detailed illustrative example is provided to help readers better understand how these mathematical tools are applied in practice. Furthermore, we review existing encryption techniques and propose a new matrix-based scheme that leverages linear algebra to improve data security, optimize the encryption-decryption process, and ensure the integrity and confidentiality of information throughout transmission and storage.

HPU2 Journal of Science Natural Sciences and TechnologyVol. 3(3)
Hanoi University of Industry (VN)
Openalex Percentile: Top 30%
Coding theory and cryptography
0.35
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.

Hybrid affine cipher and eigenvector methods for cryptography — Anh-Thang Le, Van-Dong Vu, et al. · HPU2 Journal of Science Natural Sciences and Technology (2024) | TGRS Research Map | TGRS