Research Article
New Approach to Crossover of Encryption Algorithms
@INPROCEEDINGS{10.1007/978-3-031-72393-3_2, author={Peter Pekarčik and Eva Chovancov\^{a} and Martin Chovanec and Tatiana Kuchč\^{a}kov\^{a}}, title={New Approach to Crossover of Encryption Algorithms}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 8th EAI International Conference, FABULOUS 2024, Zagreb, Croatia, May 9--10, 2024, Proceedings}, proceedings_a={FABULOUS}, year={2024}, month={10}, keywords={crossover encryption evaluation fitness score genetics algorithms}, doi={10.1007/978-3-031-72393-3_2} }- Peter Pekarčik
Eva Chovancová
Martin Chovanec
Tatiana Kuchčáková
Year: 2024
New Approach to Crossover of Encryption Algorithms
FABULOUS
Springer
DOI: 10.1007/978-3-031-72393-3_2
Abstract
Our work presents a novel approach to creating new encryption algorithms. We were inspired by genetic algorithms based on the Darwin evolution theory. As the method of invention, we chose the crossover technique. We aim to create unique encryption algorithms that will be more secure, faster, and require less memory space or computational energy. New encryption algorithms are based on the most commonly used encryption techniques. During the crossover process, we consider the most critical metrics for encryption algorithms. We also briefly described the crossover and mutation process. The developed method is in the state of design. The design presented in this article is in the form of a flowchart diagram and detailed decryption. We plan to implement it and test it.
