The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Replication is not needed: single database, computationally-private information retrieval
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Implementing access control to people location information
Proceedings of the ninth ACM symposium on Access control models and technologies
Incognito: efficient full-domain K-anonymity
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Location Privacy in Mobile Systems: A Personalized Anonymization Model
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Access control to people location information
ACM Transactions on Information and System Security (TISSEC)
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A study on the value of location privacy
Proceedings of the 5th ACM workshop on Privacy in electronic society
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PRIVE: anonymous location-based queries in distributed mobile systems
Proceedings of the 16th international conference on World Wide Web
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
IEEE Transactions on Knowledge and Data Engineering
Minimality attack in privacy preserving data publishing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Supporting anonymous location queries in mobile environments with privacygrid
Proceedings of the 17th international conference on World Wide Web
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Privacy Preservation in the Publication of Trajectories
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
A Free Terrain Model for Trajectory K---Anonymity
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Privacy-preserving anonymization of set-valued data
Proceedings of the VLDB Endowment
An anonymous communication model for privacy-enhanced location based service using an echo agent
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Anonymizing moving objects: how to hide a MOB in a crowd?
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
SPIRAL: A Scalable Private Information Retrieval Approach to Location Privacy
MDMW '08 Proceedings of the 2008 Ninth International Conference on Mobile Data Management Workshops
Towards Achieving Personalized Privacy for Location-Based Services
Transactions on Data Privacy
Location Diversity: Enhanced Privacy Protection in Location Based Services
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
A survey of computational location privacy
Personal and Ubiquitous Computing
Understanding and capturing people's privacy policies in a mobile social networking application
Personal and Ubiquitous Computing
A Hybrid Technique for Private Location-Based Queries with Database Protection
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
A Location Privacy Aware Friend Locator
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Privacy-Aware Proximity Based Services
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Query l-diversity in Location-Based Services
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Casper*: Query processing for location services without compromising privacy
ACM Transactions on Database Systems (TODS)
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
Preventing velocity-based linkage attacks in location-aware applications
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Preserving Anonymity of Recurrent Location-Based Queries
TIME '09 Proceedings of the 2009 16th International Symposium on Temporal Representation and Reasoning
A reciprocal framework for spatial K-anonymity
Information Systems
Preserving privacy in location-based mobile social applications
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Enabling private continuous queries for revealed user locations
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Discovering private trajectories using background information
Data & Knowledge Engineering
Movement Data Anonymity through Generalization
Transactions on Data Privacy
The PROBE Framework for the Personalized Cloaking of Private Locations
Transactions on Data Privacy
Privacy-Aware Location-Aided Routing in Mobile Ad Hoc Networks
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Private and Flexible Proximity Detection in Mobile Social Networks
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Anonymization of moving objects databases by clustering and perturbation
Information Systems
Proceedings of the 12th ACM international conference on Ubiquitous computing
Privacy-preserving publication of trajectories using microaggregation
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS
Preserving privacy in semantic-rich trajectories of human mobility
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS
Providing K-Anonymity in location based services
ACM SIGKDD Explorations Newsletter
Nearest neighbor search with strong location privacy
Proceedings of the VLDB Endowment
Location privacy: going beyond K-anonymity, cloaking and anonymizers
Knowledge and Information Systems
The VLDB Journal — The International Journal on Very Large Data Bases
An attacker's view of distance preserving maps for privacy preserving data mining
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Anonymous user tracking for location-based community services
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Protecting privacy against location-based personal identification
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Imagined communities: awareness, information sharing, and privacy on the facebook
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
Specialization in i* strategic rationale diagrams
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Geo-indistinguishability: differential privacy for location-based systems
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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The rapid advance in handheld communication devices and the appearance of smartphones has allowed users to connect to the Internet and surf on the WWW while they are moving around the city or traveling. Location based services have been developed to deliver content that is adjusted to the current user location. Social networks have also responded to the challenge of users who can access the Internet from any place in the city, and location based social-networks like Foursquare have become very popular in a short period of time. The popularity of these applications is linked to the significant advantages they offer: users can exploit live location-based information to take dynamic decisions on issues like transportation, identification of places of interest or even on the opportunity to meet a friend or an associate in nearby locations. A side effect of sharing location-based information is that it exposes the user to substantial privacy related threats. Revealing the user's location carelessly can prove to be embarrassing, harmful professionally, or even dangerous. Research in the data management field has put significant effort on anonymization techniques that obfuscate spatial information in order to hide the identity of the user or her exact location. Privacy guaranties and anonymization algorithms become increasingly sophisticated offering better and more efficient protection in data publishing and data exchange. Still, it is not clear yet what are the greatest dangers to user privacy and which are the most realistic privacy breaching scenarios. The aim of the paper is to provide a brief survey of the attack scenarios, the privacy guaranties and the data transformations employed to protect user privacy in real time. The paper focuses mostly on providing an overview of the privacy models that are investigated in literature and less on the algorithms and their scaling capabilities. The models and the attack scenarios are classified and compared, in order to provide an overview of the cases that are covered by existing research.