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dc.contributor.advisorΝταντογιάν, Χριστόφορος
dc.contributor.authorKalachanis, Athanasios
dc.date.accessioned2018-10-29T06:45:41Z
dc.date.available2018-10-29T06:45:41Z
dc.date.issued2018
dc.identifier.urihttps://dione.lib.unipi.gr/xmlui/handle/unipi/11485
dc.format.extent43el
dc.language.isoenel
dc.publisherΠανεπιστήμιο Πειραιώςel
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Διεθνές*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Διεθνές*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Διεθνές*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMachine learning in the field of information securityel
dc.typeMaster Thesisel
dc.contributor.departmentΣχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτωνel
dc.description.abstractENThe purpose of this thesis is to analyze existing machine learning application in the information security field and demonstrate a machine learning malware classifier. At first, we’ll make a brief introduction into data science, malware, machine learning and adversarialmachine learning. Moreover, we will concentrate on applications of machine learning systems in the cyber security field and how an attacker can evade such systems and impact the integrity, availability and confidentialityby exploiting the classifiers vulnerabilities. Finally, we present a custom malware classifier as a proof of concept executablefiles.el
dc.contributor.masterΑσφάλεια Ψηφιακών Συστημάτωνel
dc.subject.keywordMachine learningel
dc.subject.keywordInformation securityel
dc.subject.keywordMalwareel
dc.date.defense2018-02-28


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Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
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Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές

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Η δημιουργία κι ο εμπλουτισμός του Ιδρυματικού Αποθετηρίου "Διώνη", έγιναν στο πλαίσιο του Έργου «Υπηρεσία Ιδρυματικού Αποθετηρίου και Ψηφιακής Βιβλιοθήκης» της πράξης «Ψηφιακές υπηρεσίες ανοιχτής πρόσβασης της βιβλιοθήκης του Πανεπιστημίου Πειραιώς»