Protecting location privacy against spatial inferences

Damiani, Maria Luisa; Bertino, Elisa; Silvestri, Claudio

doi:10.1145/1667502.1667511

Cited by 34 publications

(31 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Location privacy is broad range research topic, and various approaches have proposed to address the existing threats in current network environment. Location cryptographic 5,9,12 and location k-anonymity 6,10,11,13,16 are the two most popular location privacy preserving techniques. Wei et al 5 proposed to encrypt user's precise location before sending it to location-based server, and considered the location-based server as untrusted 3rd party, so generated and stored both precise and fake users' IDs and locations in the cellular tower.…”

Section: Related Workmentioning

confidence: 99%

A User Sensitive Privacy-preserving Location Sharing System in Mobile Social Networks

Cheng

Aritsugi

2014

Procedia Computer Science

View full text Add to dashboard Cite

Some types of social networking applications installed in the mobile devices require users to share own locations while using them. Adversaries glean users' private information through shared locations via social networking application and public available geographic data. In this paper, we propose a user sensitive privacy-preserving location sharing system to avoid leaking. Users define sensitivity profiles to transform the public available geographic data into personal obfuscate region maps. Shared locations from obfuscate region maps provide close enough coordinates for application to use, but disconnected correlation between exact public available geographic data and user's actual location to prevent malicious tracking.

show abstract

Section: Related Workmentioning

confidence: 99%

A User Sensitive Privacy-preserving Location Sharing System in Mobile Social Networks

Cheng

Aritsugi

2014

Procedia Computer Science

View full text Add to dashboard Cite

show abstract

“…Another technique of providing anonymity is to use k-anonymity techniques (Kulik et al, 2009;Chow and Mokbel, 2009;Ouyang et al, 2008;Damiani et al, 2009). In these solutions, a user will only upload the location of a region which contains k − 1 neighbours.…”

Section: Related Workmentioning

confidence: 99%

Friendship-based location privacy in Mobile Social Networks

Chang

Tan

2011

IJSN

View full text Add to dashboard Cite

Location privacy in Mobile Social Networks (MSNs) has generated significant interest in recent years, with many proposed methods to address the problem. Commercial solutions to this problem have suggested designing better ways for users to determine when to report their locations, while academic researchers have proposed solutions that involve deploying trusted third party servers to protect user privacy. In this paper, we showed that simply omitting location updates does not provide adequate privacy protections, especially in situations where the friendship relationships between users are known. We proposed a fake location update algorithm that allows a user to protect his privacy. A key feature of our approach is that it can be adopted without the use of any third party services, making them more practical. We evaluate our approach using extensive simulation experiments.

show abstract

“…Recent studies have proposed methods for masking the identity [4,5], location [6][7][8], and query information [9] of users by using secure third-party anonymizers to encode the location of a user or POI. Anonymizers not only protect 2 Wireless Communications and Mobile Computing user privacy but also reduce communication time and costs.…”

Section: Introductionmentioning

confidence: 99%

“…These queries, which contain the same metadata, are transmitted to the LBS server. Another study [7] used a Hilbert curve to create an obfuscation area to mask the location of users. Anonymizers mask users by randomly selecting a representative user in proximity to a group of users.…”

Section: Introductionmentioning

confidence: 99%

“…The metadata of the representative are copied to all queries before they are transmitted to the LBS server, thereby satisfying -anonymity and obfuscation requirements. Anonymizers typically create obfuscation areas in grid [7,[10][11][12] or pyramid structure to mask user locations. In [13], a method was proposed to resolve the incompatibility between the original obfuscation area and query criteria by creating an additional obfuscated query area to keep privacy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unchained Cellular Obfuscation Areas for Location Privacy in Continuous Location-Based Service Queries

Luo

Yang

2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

To access location-based service (LBS) and query surrounding points of interest (POIs), smartphone users typically use builtin positioning functions of their phones when traveling at unfamiliar places. However, when a query is submitted, personal information may be leaked when they provide their real location. Current LBS privacy protection schemes fail to simultaneously consider real map conditions and continuous querying, and they cannot guarantee privacy protection when the obfuscation algorithm is known. To provide users with secure and effective LBSs, we developed an unchained regional privacy protection method that combines query logs and chained cellular obfuscation areas. It adopts a multiuser anonymizer architecture to prevent attackers from predicting user travel routes by using background information derived from maps (e.g., traffic speed limits). The proposed scheme is completely transparent to users when performing continuous location-based queries, and it combines the method with actual road maps to generate unchained obfuscation areas that conceal the actual locations of users. In addition to using a caching approach to enhance performance, the proposed scheme also considers popular tourist POIs to enhance the cache data hit ratio and query performance.

show abstract

Protecting location privacy against spatial inferences

Cited by 34 publications

References 16 publications

A User Sensitive Privacy-preserving Location Sharing System in Mobile Social Networks

A User Sensitive Privacy-preserving Location Sharing System in Mobile Social Networks

Friendship-based location privacy in Mobile Social Networks

Unchained Cellular Obfuscation Areas for Location Privacy in Continuous Location-Based Service Queries

Contact Info

Product

Resources

About