CRYPTOGRAPHIC ALGORITHMS ACCELERATION THROUGH MATHEMATICAL MODELING

Cryptographic algorithms play a critical role in ensuring secure communication and data protection. However, the computational overhead associated with these algorithms can hinder their performance, especially in resource-constrained environments. This paper explores the application of mathematical modeling to enhance the efficiency of cryptographic algorithms. By leveraging techniques such as linear algebra, number theory, and optimization, we propose methods to accelerate cryptographic operations while maintaining their security properties.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-28
DOI
https://doi.org/10.5281/zenodo.14565760
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

CRYPTOGRAPHIC ALGORITHMS ACCELERATION THROUGH MATHEMATICAL MODELING

Zenodo (CERN European Organization for Nuclear Research)
Chaos-based Image/Signal Encryption
article

CRYPTOGRAPHIC ALGORITHMS ACCELERATION THROUGH MATHEMATICAL MODELING

article en

Abstract

Cryptographic algorithms play a critical role in ensuring secure communication and data protection. However, the computational overhead associated with these algorithms can hinder their performance, especially in resource-constrained environments. This paper explores the application of mathematical modeling to enhance the efficiency of cryptographic algorithms. By leveraging techniques such as linear algebra, number theory, and optimization, we propose methods to accelerate cryptographic operations while maintaining their security properties.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Chaos-based Image/Signal Encryption
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CRYPTOGRAPHIC ALGORITHMS ACCELERATION THROUGH MATHEMATICAL MODELING · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS