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Pregled bibliografske jedinice broj: 839735

Clustering approach for user location data privacy in telecommunication services


Vuković, Marin; Kordić, Mario; Jevtić, Dragan
Clustering approach for user location data privacy in telecommunication services // Proceedings MIPRO 2016
Opatija, Hrvatska, 2016. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Clustering approach for user location data privacy in telecommunication services

Autori
Vuković, Marin ; Kordić, Mario ; Jevtić, Dragan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings MIPRO 2016 / - , 2016

Skup
MIPRO 2016

Mjesto i datum
Opatija, Hrvatska, 30.5. - 3.6. 2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
User location privacy; clustering; privacy; data privacy

Sažetak
User location has become an important aspect of user's context that may bring valuable insights into user habits and preferences. Various services and applications tend to collect user location data for the purpose of analysis and providing personalized content to the users. This paper examines location data privacy across some aspects of location data processing regarding to European Commission ePrivacy directives. The intent of the new legislation is to strengthen and unify data protection for individuals within the European Union. It is necessary to strike a reasonable balance between the data controllers' business interests and the privacy of data subjects. The Data Protection Directive requires data controllers to observe a number of principles when they process personal data. These principles not only protect the rights of those about whom the data is collected but also reflect good business practices that contribute to reliable and efficient data processing. For this purpose, we propose a new approach for location data processing in which the location data is scaled corresponding to the type of service. Neural processing technique is used for location data clustering. This approach proposes a dedicated server used for location data clustering with adaptive cluster dimensions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb