182 Hits in 4.3 sec


Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis, Catuscia Palamidessi
2013 Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security - CCS '13  
In this paper we study geo-indistinguishability, a formal notion of privacy for location-based systems that protects the user's exact location, while allowing approximate information - typically needed  ...  Furthermore, we present a perturbation technique for achieving geo-indistinguishability by adding controlled random noise to the user's location.  ...  GEO-INDISTINGUISHABILITY In this section, we define geo-indistinguishability, a formal definition of privacy which expresses a user's expected privacy requirement when using a location-based system.  ... 
doi:10.1145/2508859.2516735 dblp:conf/ccs/AndresBCP13 fatcat:tzv7h3niynde3gowdipa5ij6c4

Optimal Geo-Indistinguishable Mechanisms for Location Privacy

Nicolás E. Bordenabe, Konstantinos Chatzikokolakis, Catuscia Palamidessi
2014 Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security - CCS '14  
We consider the geo-indistinguishability approach to location privacy, and the trade-off with respect to utility.  ...  This reduces considerably the time required to solve the linear program, thus enlarging significantly the location sets for which the optimal mechanisms can be computed.  ...  Geo-indistinguishability In the context of location based systems the secrets X are locations, and we can obtain a useful notion of location privacy by naturally using the Euclidean distance d2, scaled  ... 
doi:10.1145/2660267.2660345 dblp:conf/ccs/BordenabeCP14 fatcat:z34hpihhezdw3mqcngxagkc6lm

Geo-indistinguishability: A Principled Approach to Location Privacy [chapter]

Konstantinos Chatzikokolakis, Catuscia Palamidessi, Marco Stronati
2015 Lecture Notes in Computer Science  
We then present two mechanisms for achieving geo-indistinguishability, one generic to sanitize locations in any setting with reasonable utility, the other custom-built for a limited set of locations but  ...  In this paper we report on our ongoing project aimed at protecting the privacy of the user when dealing with location-based services.  ...  Several notions of privacy for location-based systems have been proposed in the literature.  ... 
doi:10.1007/978-3-319-14977-6_4 fatcat:3afrqw452rgind2ocwlin7fgzu

Nearby Friend Discovery with Geo-indistinguishability to Stalkers

Changsha Ma, Chang Wen Chen
2014 Procedia Computer Science  
The main privacy threat of this service is that the disclosure of locations leaves opportunities for stalkers.  ...  Nearby friend discovery is a popular location based service (LBS), which allows you to discover nearby like-minded people, and make friends with them.  ...  Geo-Indistinguishability Geo-indistinguishability is a variation of differential privacy proposed to provide a formal location privacy protection for the LBS users.  ... 
doi:10.1016/j.procs.2014.07.036 fatcat:it5yuwonxjdfbgoo472abebf3u

Preserving Geo-Indistinguishability of the Emergency Scene to Predict Ambulance Response Time

Héber H. Arcolezi, Selene Cerna, Christophe Guyeux, Jean-François Couchot
2021 Mathematical and Computational Applications  
In this paper, geo-indistinguishability was applied to sanitize each emergency location data, which is a state-of-the-art formal notion based on differential privacy.  ...  However, one well-known predictor of ART is the location of the emergency (e.g., if it is urban or rural areas), which is sensitive data because it can reveal who received care and for which reason.  ...  Geo-Indistinguishability Differential privacy [16] has been accepted as the de facto standard for data privacy.  ... 
doi:10.3390/mca26030056 fatcat:qlxqkvlwn5c4rcg2sy3eyndvem

Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability

Changxin Yang, Xuan Ju, Erwu Liu, Yuanzhe Geng, Rui Wang
2021 IET Blockchain  
On the premise that the certain person can also be found, the authors introduce Truncated-Geo-Indistinguishability (TGeoI) to perturb the actual location within a limited, valid, user-defined distance,  ...  This paper proposes location paging and answering service (LPAS) for finding out someone in an indoor environment .  ...  In this context, we introduce Truncated-Geo-Indistinguishability (TGeoI) to add spatial obfuscation on user's location for privacy-preserving.  ... 
doi:10.1049/blc2.12010 fatcat:fj2zso6n4vd6ffnu2on6fnmg2a

Impact of Frequency of Location Reports on the Privacy Level of Geo-indistinguishability

Ricardo Mendes, Mariana Cunha, João P. Vilela
2020 Proceedings on Privacy Enhancing Technologies  
Based on the formal notion of differential privacy, Geo-indistinguishability has been proposed to design LPPMs that limit the amount of information that is disclosed to a potential adversary observing  ...  AbstractLocation privacy has became an emerging topic due to the pervasiveness of Location-Based Services (LBSs).  ...  Competitiveness and Internationalization The authors would like to thank Simon Oya for sharing the code for the localization attacks used in [12] and for being always available to explain some concepts  ... 
doi:10.2478/popets-2020-0032 fatcat:kpdt3zz5avamjam67jztw6jtde

Geo-obfuscation Mechanisms for Spatial Crowdsourcing via Multi-Objective Evolutionary Optimization [article]

Shun Zhang, Tao Zhang, Zhili Chen, Stan Z. Li, Shenghui Cheng
2022 arXiv   pre-print
We propose an adaptive regionalized obfuscation approach with inference error bounds based on geo-indistinguishability (a strong notion of differential privacy), which is suitable for the context of large-scale  ...  Moreover, we introduce MOEA to optimize the trade-off between SC service availability and privacy protection while confirming theoretically the most general condition on protection location sets for larger  ...  Local Differential Privacy (LDP) can help users to report their pseudo-locations. Based on geo-indistinguishability [4] , some LDP frameworks are proposed for SC scenario [6] , [9] .  ... 
arXiv:2201.11300v2 fatcat:m4fj4wpbwzbnnonme4l5l2yloe

Context Adaptive Personalized Privacy for Location-based Systems

Nuray Baltaci Akhuseyinoglu, Kamil Akhuseyinoglu
2022 User Modeling, Adaptation, and Personalization  
The system adjusts privacy parameters for mobile device location concerning user privacy requirements while using a location-based system (LBS).  ...  Results show that CAPPPS is effective for providing adaptive and personalized location privacy based on privacy parameters for changing user context.  ...  Different from the existing work on context-adaptive privacy systems [19, 21, 24, 27, 28] , CAPPPS is based on geo-indistinguishability [1] , which is the generalized form of differential privacy for  ... 
doi:10.1145/3511047.3537677 dblp:conf/um/AkhuseyinogluA22 fatcat:uh7ph235uvb5djlflqgdocnlj4

On the differential privacy of dynamic location obfuscation with personalized error bounds [article]

Zhang Shun, Duan Benfei, Chen Zhili, Zhong Hong
2022 arXiv   pre-print
Geo-indistinguishability and expected inference error are two complementary notions for location privacy.  ...  As a result, we can show that the proof of local differential privacy for PIVE is problematic.  ...  In particular, due to an extension of Differential Privacy (DP) to arbitrary domains [7] , the location privacy notion, geo-indistinguishability, is introduced in [1] based on DP [5] .  ... 
arXiv:2101.12602v3 fatcat:kyysoj4upjglfcb22wxih7lkmy

Regionalized location obfuscation mechanism with personalized privacy levels [article]

Shun Zhang, Benfei Duan, Zhili Chen, Tianjiao Ni, Hong Zhong
2022 arXiv   pre-print
Recently two strong privacy notions, geo-indistinguishability and expected inference error, are proposed based on statistical quantification.  ...  In this paper, we argue that personalization means regionalization for geo-indistinguishability, and we propose a regionalized location obfuscation mechanism with personalized utility sensitivities.  ...  Notions Geo-indistinguishability based on differential privacy [1] is a statistical notion of location privacy, which has been widely used in the field of location privacy protection.  ... 
arXiv:2102.00654v4 fatcat:pae7xk6gjbhvzo4yn2zc65sze4

APRS: a privacy-preserving location-aware recommender system based on differentially private histogram

Sheng Gao, Xindi Ma, Jianming Zhu, Jianfeng Ma
2017 Science China Information Sciences  
APRS: a privacy-preserving location-aware recommender system based on differentially private histogram.  ...  The responsibility for scientific accuracy and content remains entirely with the authors.  ...  In APRS, we introduce the notion of geo-indistinguishability [3] to perturb users' locations to achieve ε 1 -differential privacy.  ... 
doi:10.1007/s11432-017-9222-7 fatcat:gxaiwguofzhq7ln5o3gihnl554

Location Privacy for Rank-based Geo-Query Systems

Wisam Eltarjaman, Rinku Dewri, Ramakrishna Thurimella
2017 Proceedings on Privacy Enhancing Technologies  
The mobile eco-system is driven by an increasing number of location-aware applications.  ...  A privacy model that does not exploit this structure of geo-query results may enforce weaker levels of location privacy.  ...  Xiao and Xiong further proposed differential privacy based extensions to prevent inferences in continuous query systems [30] .  ... 
doi:10.1515/popets-2017-0039 dblp:journals/popets/EltarjamanDT17 fatcat:d6hxgpsojvhxbo44naf4vi427u

PANDA: Policy-aware Location Privacy for Epidemic Surveillance [article]

Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
2020 arXiv   pre-print
We demonstrate that we can have the best of the two worlds by implementing policy-based location privacy for epidemic surveillance.  ...  Our system has three primary functions for epidemic surveillance: location monitoring, epidemic analysis, and contact tracing.  ...  An algorithm satisfying { , G1}-location privacy also achieves -Geo-Indistinguishability. δ-Location Set Privacy [22] extends differential privacy on a subset of possible locations, which is assumed  ... 
arXiv:2005.00186v2 fatcat:4lcfpd446jfbbpp5lticuy7rcu

Differential Privacy Trajectory Data Protection Algorithm Based on Polar Coordinate Transformation [chapter]

Zhenzhen Zhang, Jianping Cai, Lan Sun, Yongyi Guo, Yubing Qiu, Yingjie Wu
2020 Frontiers in Artificial Intelligence and Applications  
In order to improve the effect of trajectory data release, this paper proposes a differential privacy trajectory data protection algorithm based on polar coordinates.  ...  Then, this paper converts the rectangular coordinate system representation of the key position points to the polar coordinate system representation, and implement differential privacy trajectory data release  ...  In order to realize the safe release of the trajectory data set, literature [16] uses the definition of differential privacy to propose a Geo-indistinguishability model (Geo-Indistinguishability).  ... 
doi:10.3233/faia200745 fatcat:dzbaozze75fkpjxdosnaewb5bm
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