Privacy and Protecting Privacy: Using Static Analysis for legal compliance. General Data Protection Regulation

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dc.contributor.advisor Cortesi, Agostino it_IT
dc.contributor.author Sallaku, Redlon <1994> it_IT
dc.date.accessioned 2019-02-17 it_IT
dc.date.accessioned 2019-06-11T08:43:31Z
dc.date.issued 2019-03-07 it_IT
dc.identifier.uri http://hdl.handle.net/10579/14682
dc.description.abstract The main purpose of the thesis is to study Privacy and how protecting Privacy, including the new regulation framework proposed by EU the GDPR, investigating how static analysis could help GDPR enforcement, and develop a new static analysis prototype to fulfill this task in practice. GDPR (General Data Protection Regulation) is a recent European regulation to harmonize and enforce data privacy laws across Europe, to protect and empower all EU citizens data privacy, and to reshape the way organizations deal with sensitive data. This regulation has been enforced starting from May 2018. While it is already clear that there is no unique solution to deal with the whole spectrum of GDPR, it is still unclear how static analysis might help enterprises to fulfill the constraints imposed by this regulation. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Redlon Sallaku, 2019 it_IT
dc.title Privacy and Protecting Privacy: Using Static Analysis for legal compliance. General Data Protection Regulation it_IT
dc.title.alternative Privacy and Privacy Protection: Using Static Analysis for legal compliance. General Data Protection Regulation 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 2017/2018, sessione straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 861036 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Redlon Sallaku (861036@stud.unive.it), 2019-02-17 it_IT
dc.provenance.plagiarycheck Agostino Cortesi (cortesi@unive.it), 2019-03-04 it_IT


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