The new Casper: query processing for location services without compromising privacy
Mohamed F. Mokbel,Chi-Yin Chow,Walid G. Aref +2 more
- pp 763-774
TLDR
Zhang et al. as mentioned in this paper presented Casper1, a new framework in which mobile and stationary users can entertain location-based services without revealing their location information, which consists of two main components, the location anonymizer and the privacy-aware query processor.Abstract:
This paper tackles a major privacy concern in current location-based services where users have to continuously report their locations to the database server in order to obtain the service. For example, a user asking about the nearest gas station has to report her exact location. With untrusted servers, reporting the location information may lead to several privacy threats. In this paper, we present Casper1; a new framework in which mobile and stationary users can entertain location-based services without revealing their location information. Casper consists of two main components, the location anonymizer and the privacy-aware query processor. The location anonymizer blurs the users' exact location information into cloaked spatial regions based on user-specified privacy requirements. The privacy-aware query processor is embedded inside the location-based database server in order to deal with the cloaked spatial areas rather than the exact location information. Experimental results show that Casper achieves high quality location-based services while providing anonymity for both data and queries.read more
Citations
More filters
Book ChapterDOI
Location Diversity: Enhanced Privacy Protection in Location Based Services
TL;DR: This paper presents an attack model that maps each observed query to a linear equation involving semantic locations, and shows that a necessary condition to preserve privacy is the existence of infinite solutions in the resulting system of linear equations.
Proceedings ArticleDOI
Privately querying location-based services with SybilQuery
TL;DR: The design and implementation of SybilQuery is presented, a fully decentralized and autonomous k-anonymization-based scheme to privately query location-based services and can efficiently generate Sybil queries, which are indistinguishable from real queries.
Journal ArticleDOI
ALERT: An Anonymous Location-Based Efficient Routing Protocol in MANETs
Haiying Shen,Lianyu Zhao +1 more
TL;DR: This work proposes an Anonymous Location-based Efficient Routing proTocol (ALERT), a novel anonymous routing protocol that dynamically partitions the network field into zones and randomly chooses nodes in zones as intermediate relay nodes, which form a nontraceable anonymous route.
Posted Content
Privacy in geo-social networks: proximity notification with untrusted service providers and curious buddies
TL;DR: In this article, the authors provide a rigorous theoretical and experimental analysis of the existing solutions for the location privacy problem in proximity services, and propose two new protocols providing complete privacy with respect to the service provider, and controllable privacy for the buddies.
Journal ArticleDOI
Efficient location privacy algorithm for Internet of Things (IoT) services and applications
TL;DR: This work first analyzes the current dummy-location selection (DLS) algorithman efficient location privacy preservation approach and design an attack algorithm for DLS (ADLS) for test emerging IoT security, and proposes a novel dummy location privacy-preserving (DLP) algorithm.
References
More filters
Journal ArticleDOI
k -anonymity: a model for protecting privacy
TL;DR: The solution provided in this paper includes a formal protection model named k-anonymity and a set of accompanying policies for deployment and examines re-identification attacks that can be realized on releases that adhere to k- anonymity unless accompanying policies are respected.
Proceedings ArticleDOI
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Marco Gruteser,Dirk Grunwald +1 more
TL;DR: A middleware architecture and algorithms that can be used by a centralized location broker service that adjusts the resolution of location information along spatial or temporal dimensions to meet specified anonymity constraints based on the entities who may be using location services within a given area.
Journal ArticleDOI
Protecting respondents identities in microdata release
TL;DR: This paper addresses the problem of releasing microdata while safeguarding the anonymity of respondents to which the data refer and introduces the concept of minimal generalization that captures the property of the release process not distorting the data more than needed to achieve k-anonymity.
Journal ArticleDOI
Achieving k -anonymity privacy protection using generalization and suppression
TL;DR: This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity and shows that Datafly can over distort data and µ-Argus can additionally fail to provide adequate protection.
Journal ArticleDOI
Location privacy in pervasive computing
TL;DR: The mix zone is introduced-a new construction inspired by anonymous communication techniques-together with metrics for assessing user anonymity, based on frequently changing pseudonyms.