Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/9489
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dc.contributor.authorAndonov, Stefanen_US
dc.contributor.authorDobreva, Jovanaen_US
dc.contributor.authorLumburovska, Linaen_US
dc.contributor.authorPavlov, Stefanen_US
dc.contributor.authorDimitrova, Vesnaen_US
dc.contributor.authorPopovska Mitrovikj, Aleksandraen_US
dc.date.accessioned2020-11-09T07:52:30Z-
dc.date.available2020-11-09T07:52:30Z-
dc.date.issued2020-09-24-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/9489-
dc.description.abstractThe usage of machine learning is expanding over all scientific fields and this branch is becoming more and more popular in the last years. In this paper we consider application of machine learning in the cryptanalysis, precisely in cryptanalysis of DES algorithm. This algorithm works in 16 rounds and we make two analyses: one for only one round and one for all rounds. We use different datasets and specific neural network for each analysis. We present results from several experiments for different datasets and different keys. Furthermore, we analyze and compare the obtained results, where we provide visual and textual presentation and we derive some conclusions.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesISSN 1857-7288;-
dc.subjectMachine learning, DES, Cryptanalysis, Neural networks, Datasetsen_US
dc.titleApplication of Machine Learning in DES Cryptanalysisen_US
dc.typeProceedingsen_US
dc.relation.conferenceICT Innovations 2020en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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