Clustering approach for user location data privacy in telecommunication services
Marin Vuković, Mario Kordic, Dragan M. Jevtić · 2016
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.