Privacy For Locationbased Services Gabriel Ghinita Ghinita by Gabriel Ghinita [ghinita, Gabriel] 9781627051491, 162705149X instant download after payment.

The emergence of location-based social networks, or geo-social networks (GSN), allows users to share their whereabouts with friends, to find nearby contacts, and to provide/search for recommendations about points of interest that are close to their current geographical coordinates. Furthermore, users can act as mobile sensors in various location-centric crowd-sourcing scenarios, such as monitoring the levels of vehicle traffic congestion, or the levels of air pollution. Such applications require users to disclose their locations in one form or another, which raises serious privacy concerns. With knowledge of user locations, a malicious adversary can stage a broad spectrum of attacks against individuals, from physical surveillance and stalking, to identity theft, to inferring sensitive information, such as the individual's health status, alternative lifestyles, political and religious affiliations, etc. Preserving location privacy is an essential requirement towards the successful deployment of location-based applications. Currently, there are several related use-case scenarios in which some form of location sharing is necessary, and for which privacy must be preserved. First, users send location-based queries to un-trusted servers that store databases of points of interest. In this case, the privacy objective is to allow the users to retrieve nearby points of interest without having to disclose exact locations to the location service provider. Second, commercial entities that users trust with their locations, such as a telephone company, or an online GSN, wish to perform collaboratively a computation in the form of data matching with spatial predicates, for data mining tasks that enhance the user experience by synthesizing profiles, or increase the companies' revenue. Each party will contribute its own dataset of locations, but only in anonymized form, and only the results of the computation should be revealed to each party, without gai