Zaštita korisničke privatnosti metodom anonimizacije povijesti pretraživanja web-preglednika

undergraduate thesis

• Title (english): Web Browsing History Anonymization Method for User Privacy Protection
• Author: Mihaela Svetec
• Mentor: Klemo Vladimir (mentor)
• Committee member: Klemo Vladimir (predsjednik povjerenstva)
• Committee member: Adrian Satja Kurdija (član povjerenstva)
• Committee member: Lucija Šikić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

PBooster model nastao je kao odgovor na potrebu korisnika da zaštiti svoju privatnost prilikom korištenja Interneta. Model provodi anonimizaciju manipulacijom poviješću pretraživanja korisnika tako da u nju dodaje skup novih poveznica. Očuvanje privatnosti i kvaliteta pružane usluge su u obrnuto-proporcionalnom odnosu te se algoritam odabira poveznica temelji na optimizaciji navedenih značajki. U okviru ovog završnog rada predstavljene su glavne značajke i funkcionalnosti PBooster modela te deanonimizacijski model koji je bio motivacija za njegovu izgradnju. Programski je implementiran dio algoritma PBooster kojim se pronalazi optimalan broj poveznica koje je potrebno dodati u povijest pretraživanja. Provedeno je vrednovanje programskog rješenja nad umjetno stvorenim skupom podataka. Konačno, dana je usporedba PBooster modela sa sličnim metodama anonimizacije.

Abstract (english)

The PBooster model was created in response to the need for users to protect their privacy when using the Internet. The model performs anonymization with the method of manipulating user browsing history by adding a set of new links to it. Preservation of privacy and quality of provided service are inversely proportional – algorithm for link selection is based on the optimization of these features. Within this final paper, the main features and functionalities of the PBooster model, as well as the deanonymization model that was the motivation for its construction, are presented. A part of the PBooster algorithm, which finds the optimal number of links that need to be added to the browsing history, has been programmed. An evaluation of the program was performed over the artificially created data set. Finally, a comparison of the PBooster model with similar methods of anonymization is given.

• Keywords: anonimizacija; povijest pretraživanja; privatnost
• Keywords (english): anonymization; browsing history; privacy
• Language: croatian
• URN:NBN: urn:nbn:hr:168:590600
• Study programme: Title: Computing; 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: Closed access
• Created on: 2023-01-13 16:12:41