Analysis of Cryptographic Vulnerabilities in Docker Images

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dc.contributor.advisor Focardi, Riccardo it_IT
dc.contributor.author Camoli, Filippo <1996> it_IT
dc.date.accessioned 2022-06-22 it_IT
dc.date.accessioned 2022-10-11T08:27:10Z
dc.date.available 2022-10-11T08:27:10Z
dc.date.issued 2022-07-21 it_IT
dc.identifier.uri http://hdl.handle.net/10579/21941
dc.description.abstract The thesis work consists in the research and analysis of the cryptographic non-conformities present in some docker images. We will illustrate the automation process for the collection of statistical samples aimed at determining the presence of vulnerabilities related to the mechanisms of cryptographic keys and certificates present in the aforementioned images and classifying them to understand whether the detected threats are actually real or instead attributable to cases deemed safe. Finally, we will discuss why such non-conformities exist and illustrate possible corrective solutions to eliminate these threats. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Filippo Camoli, 2022 it_IT
dc.title Analysis of Cryptographic Vulnerabilities in Docker Images it_IT
dc.title.alternative Analysis of Cryptographic Vulnerabilities in Docker Images it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2021/2022_sessione estiva_110722 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 871380 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note Versione Corretta e Approvata il 22 giugno 2022. it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Filippo Camoli (871380@stud.unive.it), 2022-06-22 it_IT
dc.provenance.plagiarycheck Riccardo Focardi (focardi@unive.it), 2022-07-11 it_IT


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