NEURAL NETWORK BASED CRYPTOGRAPHY
dc.contributor.author | Yayik, Apdullah | |
dc.contributor.author | Kutlu, Yakup | |
dc.date.accessioned | 2024-09-18T20:02:40Z | |
dc.date.available | 2024-09-18T20:02:40Z | |
dc.date.issued | 2014 | |
dc.department | Hatay Mustafa Kemal Ãœniversitesi | en_US |
dc.description.abstract | In this paper, neural network based cryptology is performed. The system consists of two stages. In the first stage, neural network-based pseudo-random numbers (NPRNGs) are generated and the results are tested for randomness using National Institute of Standard Technology (NIST) randomness tests. In the second stage, a neural network-based cryptosystem is designed using NPRNGs. In this cryptosystem, data, which is encrypted by non-linear techniques, is subject to decryption attempts by means of two identical artificial neural networks (ANNs). With the first neural network, non-linear encryption is modeled using relation-building functionality. The encrypted data is decrypted with the second neural network using decision-making functionality. | en_US |
dc.description.sponsorship | Scientific Research Project in Mustafa Kemal University [8702] | en_US |
dc.description.sponsorship | The study was supported by 8702 numbered Scientific Research Project in Mustafa Kemal University. | en_US |
dc.identifier.doi | 10.14311/NNW.2014.24.011 | |
dc.identifier.endpage | 192 | en_US |
dc.identifier.issn | 1210-0552 | |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 177 | en_US |
dc.identifier.uri | https://doi.org/10.14311/NNW.2014.24.011 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12483/7952 | |
dc.identifier.volume | 24 | en_US |
dc.identifier.wos | WOS:000336236800005 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | Acad Sciences Czech Republic, Inst Computer Science | en_US |
dc.relation.ispartof | Neural Network World | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Artificial neural network | en_US |
dc.subject | asymmetric cryptology | en_US |
dc.subject | pseudo-random number generator | en_US |
dc.title | NEURAL NETWORK BASED CRYPTOGRAPHY | en_US |
dc.type | Article | en_US |
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