Frameworks For Privat Identifikation Af Nærved Venner

Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  • Jeppe Rishede Thomsen
  • Laurynas Šikšnys
2. semester, Datalogi, Kandidat (Kandidatuddannelse)
The privacy-aware proximity detection service determines if two users are close to each other without need to disclose their exact locations. Such kinds of services are getting increasingly popular, fueled by an increase in the availability of positioning devices like GPS. This thesis presents two novel client-server proximity detection frameworks which offer a new set of features, lacked by alternative solutions. One of these is blind query evaluation which enables strong user location privacy. The server detects proximity between users by analyzing encrypted rather than spatial position data. Experimental results show that both frameworks are scalable to high number of users and convince that they are applicable for real world application
Antal sider74
Udgivende institutionDepartment of Computer Science
ID: 17690865