ETD

• k-anonymity
• location based services framework
• location obfuscation
• location privacy framework
• mix zones
• mix zones optimal placement
• privacy framework

The increased capabilities of technology in both fields of mobile devices and position retrieval during last years allowed a widespread use of Location-Based services. If in a first point of view LBS simplified user’s life on the other side they enlarged possible vulnerabilities that may be used to violate privacy of users.
Guaranteeing privacy is a key aspect and lots of studies were made to accomplish this requirement; in this work is presented a novel framework in which the k-anonymity method is used to raise performances of the mix-zones approach, this goal is reached defining an automated way to select the zones instead of using a manual/empirical method.
In section n.1 there is a brief introduction on all the work done, in section n.2 background technologies and methods used are explained, in section n.3 we propose our novel framework idea and in section n.4 we explain the development of the work. In the end in section n.5 results of simulation are shown and in section n.6 conclusions and future works considerations are present.