Implementation of RSA cryptographic algorithm using SN P systems based on HP/LP neurons
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Publication:1983001
DOI10.1007/s41965-021-00073-3zbMath1469.94096OpenAlexW3137017821WikidataQ114848798 ScholiaQ114848798MaRDI QIDQ1983001
Tseren-Onolt Ishdorj, Dugar Nyamdorj, Ganbat Ganbaatar, Gordon Cichon
Publication date: 14 September 2021
Published in: Journal of Membrane Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s41965-021-00073-3
Cryptography (94A60) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)
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Cites Work
- Unnamed Item
- Uniform solutions to SAT and 3-SAT by spiking neural P systems with pre-computed resources
- Membrane computing. An introduction.
- Formal verification of cP systems using PAT3 and ProB
- An error-tolerant serial binary full-adder via a spiking neural P system using HP/LP basic neurons
- Membrane computing models and robot controller design, current results and challenges
- Polarization: a new communication protocol in networks of bio-inspired processors
- COMPUTATIONAL POWER OF INTRAMOLECULAR GENE ASSEMBLY
- GENE ASSEMBLY MODELS AND BOOLEAN CIRCUITS
- A method for obtaining digital signatures and public-key cryptosystems
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
- The Complexity of Public-Key Cryptography
- The Stochastic Loss of Spikes in Spiking Neural P Systems: Design and Implementation of Reliable Arithmetic Circuits
- Computing with Spiking Neural P Systems: Traces and Small Universal Systems
- Minimal Parallelism for Polarizationless P Systems
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