Metode deanonimizacije skupova podataka

master's thesis

• Title (english): Methods of De-Anonymization of Data Sets
• Author: Marica Mikulić
• Mentor: Ante Đerek (mentor)
• Committee member: Ante Đerek (predsjednik povjerenstva)
• Committee member: Marin Golub (član povjerenstva)
• Committee member: Marko Čupić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-02, 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: deanonimizacija; podatci; sigurnost
• Keywords (english): de-anonymization; data; security
• Language: croatian
• URN:NBN: urn:nbn:hr:168:048825
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 13:10:44