Constructing dummy query sequences to protect location privacy and query privacy in location-based services
نویسندگان
چکیده
منابع مشابه
Protecting query privacy in location-based services
The popularity of location-based services (LBSs) leads to severe concerns on users’ privacy. With the fast growth of Internet applications such as online social networks, more user information becomes available to the attackers, which allows them to construct new contextual information. This gives rise to new challenges for user privacy protection and often requires improvements on the existing...
متن کاملAchieving Efficient Query Privacy for Location Based Services
Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users’ locations. We present a technique for private information retrieval that allows a user to retrieve information from a database server without revealing what is actually being retrieved from the server. We perform the retrieval opera...
متن کاملPrivacy Protected Spatial Query Processing for Advanced Location Based Services
Due to the popularity of mobile devices (e.g., cell phones, PDAs, etc.), location-based services have become more and more prevalent in recent years. However, users have to reveal their location information to access location-based services with existing service infrastructures. It is possible that adversaries could collect the location information, which in turn invades user’s privacy. There a...
متن کاملProtecting location privacy and query privacy: a combined clustering approach
In this paper, a combined clustering algorithm namely enhanced clustering cloak (ECC), for protecting location privacy and query privacy is proposed. An iterative K-means clustering method is developed to group the user requests into clusters for providing location safety. Meanwhile, a hierarchical clustering method for preserving the query privacy is used when creating clusters. ECC provides u...
متن کاملLocation Privacy for Rank-based Geo-Query Systems
The mobile eco-system is driven by an increasing number of location-aware applications. Consequently, a number of location privacy models have been proposed to prevent the unwanted inference of sensitive information from location traces. A primary focus in these models is to ensure that a privacy mechanism can indeed retrieve results that are geographically the closest. However, geo-query resul...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: World Wide Web
سال: 2020
ISSN: 1386-145X,1573-1413
DOI: 10.1007/s11280-020-00830-x