A SURVEY ON HIDING USER PRIVACY IN LOCATION BASED SERVICES THROUGH CLUSTERING

Nilam V. Khandade, Snehal Nargundi

Abstract: Smartphone’s are being more and more popular as the technology being evolve. The Smartphone’s are capable of providing the location aware services like GPS. They share all the location information with the central location server. When user submit any query then these query also carries some personal information of the user. This query and information is then submitted to the LGS server. At the LBS server this information is not much confidential. Someone can use this information to make user panic. To overcome this we are proposing the new collaborative approach to hide user’s personal data from the LBS server. Our approach does not lead to make changes in the architecture of the LBS server. And we are also not going to use the third party server. Here we are going to use the other user’s device to search other users query so that other user can be get hide from the LBS server

Keywords: Mobile networks, location-based services, location privacy, Bayesian inference attacks, epidemic models

DOI: https://doi.org/10.15623/ijret.2014.0311066