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undergraduate thesis
Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi
2021. urn:nbn:hr:200:709163
Damjanović, Martina
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Cite this document

Damjanović, M. (2021). Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:709163

Damjanović, Martina. "Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:709163

Damjanović, Martina. "Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:709163

Damjanović, M. (2021). 'Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 07 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:709163

Damjanović M. Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2024 December 07] Available at: https://urn.nsk.hr/urn:nbn:hr:200:709163

M. Damjanović, "Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:709163

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Metadata
TitleAnonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi
Title (english)Data anonymisation approaches for mobile crowdsourced data
AuthorMartina Damjanović
MentorZdravko Krpić (mentor)
MentorBruno Zorić (sumentor)
Committee memberJosip Job (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2021-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Mobilna nabava iz mnoštva sve više je korištena od strane tvrtki koje žele koristiti vanjska poduzeća i pojedinca za obavljanje posla. Razlog tomu je što mobilna nabava iz mnoštva pruža prijenos podataka u stvarnom vremenu te jednostavniji način prikupljanja istih. Podaci prikupljeni na taj način koriste se u svrhu rješavanja problema ili raznih analiza, ali problem je što ti podaci mogu sadržavati osjetljive informacije o pojedincu. Stoga, nad tim podacima primjenjuju se tehnike anonimizacije. U praktičnom dijelu ovog rada izrađen je alat koji nudi primjenu tih tehnika nad učitanim podacima. Alat implementira modele privatnosti poput k-anonimizacije i l-raznolikosti. Nakon što se nad podacima primjene tehnike anonimizacije te se utvrdi da zadovoljavaju modele privatnosti, korisnik i dalje ne može biti siguran od opasnosti reidentifikacije. Do problema dolazi kada se mora birati između očuvanja privatnosti pojedinca i kvalitete podataka. Sigurnije tehnike po pitanju zaštite privatnosti podrazumijevaju veći gubitak informacija.
Abstract (english)
Mobile crowdsourcing is increasingly being used by companies that want to outsource work. The reason for that is that mobile crowdsourcing provides real-time data transmission. Data collected that way is used for solving a problem or for various types of analyses, but problem lies in the fact that data may contain sensitive information about an individual. Therefore, anonymization techniques can be applied on data. As practical part of this thesis, a tool is made which provides application of these techniques on uploaded data. Tool implements models of privacy, such as k-anonymizationa and l-diversity. After anonymization techniques are applied on the data and it is concluded that the data meets models of privacy, user still can not be protected from danger of reidentification. The problem arises when a choice has to be made between protecting privacy and ensuring the quality of the data. More secure techniques regarding privacy protection involve greater loss of information.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:709163
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-11-19 13:47:30