Implementation of RSA cryptographic algorithm using SN P systems based on HP/LP neurons

Autor:	Dugar Nyamdorj, Gordon Cichon, Ganbat Ganbaatar, Tseren-Onolt Ishdorj
Rok vydání:	2021
Předmět:	Computer science business.industry Applied Mathematics Cryptography Encryption law.invention Power (physics) Computational Theory and Mathematics Symmetric systems DNA computing law Theory of computation Neural system Unconventional computing business Algorithm
Zdroj:	Journal of Membrane Computing. 3:22-34
ISSN:	2523-8914 2523-8906
DOI:	10.1007/s41965-021-00073-3
Popis:	Asymmetric cryptographic systems are often more complex and require more computational power than symmetric systems. This is why they might be implemented using unconventional computing systems, such as P systems, spiking neural systems, and DNA computing. In this work, we design an implementation model for RSA encryption and decryption algorithms in the framework of Spiking neural P systems with HP/LP basic neurons.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7b56d1562cba2764f7dc9fd899498a49 https://doi.org/10.1007/s41965-021-00073-3 Zobrazit plný text záznamu Full text from SpringerLink