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master's thesis
Metode deanonimizacije skupova podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:048825
Mikulić, Marica
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Mikulić, M. (2021). Metode deanonimizacije skupova podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:048825

Mikulić, Marica. "Metode deanonimizacije skupova podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:048825

Mikulić, Marica. "Metode deanonimizacije skupova podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:048825

Mikulić, M. (2021). 'Metode deanonimizacije skupova podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:048825

Mikulić M. Metode deanonimizacije skupova podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 May 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:048825

M. Mikulić, "Metode deanonimizacije skupova podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:048825

Metadata
TitleMetode deanonimizacije skupova podataka
Title (english)Methods of De-Anonymization of Data Sets
AuthorMarica Mikulić
MentorAnte Đerek (mentor)
Committee memberAnte Đerek (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Znajući koju važnost podatci imaju danas, tema deanonimizacije je neizbježna. Kroz rad je predstavljena aktualnost teme i konkretni primjeri. Implementiran je možda najpoznatiji slučaj deanonimizacije - deanonimizacija Netflixove baze filmova. Za kraj je opisan primitivan algoritam deanonimizacije sudskih odluka. Ovi slučajevi, opis njihovih mogućnosti i poboljšanja daju motivaciju za pitanje deanonimizacije kao ozbiljnog pitanja sigurnosti.
Abstract (english)
Knowing the influence of data today, discussion about de-anonymization is inevitable. This work presents topicality and examples of de-anonyimization. Probably the most famous de-anonymization case is implemented - the case of the de-anonymization of the Netflix movie base. In the end, primitive de-anonymization algorithm of court decisions is described. These cases, their possibilities and improvements motivate us for questioning de-anonymizaton as seriously security problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:048825
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 13:10:44