A master thesis from Aalborg University
Frameworks For Private Identification Of Nearby Friends
[Frameworks For Privat Identifikation Af Nærved Venner]
Author(s)
Term
2. term
Education
Publication year
2009
Submitted on
2009-06-10
Pages
74 pages
Abstract
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
Keywords
Mobile Clients ; Friend Locator ; Friend Finder ; Privacy Aware ; Proximity Detection ; Mobile social networks ; Grid based ; Privacy ; Anonymity ; Blind evaluation of queries ; Mobile Klienter ; Ven finder ; Ven Finder ; Nærved opdager ; mobile sociale netværk ; gitter baseret ; Anonymitet ; Blind evalution af forespørgelse
Documents
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