Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi

Damjanović, Martina

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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

APA 6th Edition

Damjanović, M. (2021). Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:709163

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 21 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:709163

Vancouver

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 2023 March 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:709163

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:709163

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Metadata

Title	Anonimizacija podataka iz mnoštva prikupljenih uporabom mobilnih platformi
Title (english)	Data anonymisation approaches for mobile crowdsourced data
Author	Martina Damjanović
Mentor	Zdravko Krpić (mentor)
Mentor	Bruno Zorić (sumentor)
Committee member	Josip Job (predsjednik povjerenstva)
Granter	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) Osijek
Defense date and country	2021-09-24, 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)
Language	croatian
URN:NBN	urn:nbn:hr:200:709163
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2021-11-19 13:47:30