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
Proceedings ArticleDOI
Privacy-preserving revocable content sharing in geosocial networks
Linke Guo,Chi Zhang,Yuguang Fang +2 more
TL;DR: To secure mobile users' past shared contents and the corresponding location information, an efficient ciphertext update scheme is designed to allow encrypted shared contents to be periodically updated and become inaccessible to revoked users.
Proceedings ArticleDOI
Effective Privacy-Preserving Online Route Planning
TL;DR: This work proposes a solution that is able to return accurate route planning results when source and destination regions are used in order to achieve privacy and provides heuristics that reduce the number of times that the RPS needs to be queried.
Private Sharing of User Location over Online Social Networks
TL;DR: This work design and implement a platform-independent solution for users to share their location in a private fashion over online social networks that relies on encryption to enforce access control and uses dummy queries and caching to protect localization and location visualization.
Journal Article
Mobile Systems Privacy: 'MobiPriv' A Robust System for Snapshot or Continuous Querying Location Based Mobile Systems
Leon Stenneth,Philip S. Yu +1 more
TL;DR: A novel suite of algorithms called MobiPriv was introduced that addressed the shortcomings of previous work in location and query privacy in mobile systems and evaluated the efficiency and effectiveness of the Mobipriv scheme against previously proposed anonymization approaches.
Journal ArticleDOI
Shadow attacks on users' anonymity in pervasive computing environments
TL;DR: It is shown that the application of state-of-the-art techniques for the anonymization of service requests is insufficient to protect the privacy of users.
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.