GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
SPINS: security protocols for sensor networks
Wireless Networks
A Framework for Generating Network-Based Moving Objects
Geoinformatica
LATIN '98 Proceedings of the Third Latin American Symposium on Theoretical Informatics
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
TAG: a Tiny AGgregation service for ad-hoc sensor networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Design, realization and evaluation of a component-based compositional software architecture for network simulation
The blocker tag: selective blocking of RFID tags for consumer privacy
Proceedings of the 10th ACM conference on Computer and communications security
The Security and Privacy of Smart Vehicles
IEEE Security and Privacy
Enhancing Security and Privacy in Traffic-Monitoring Systems
IEEE Pervasive Computing
Privacy-aware location sensor networks
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Efficient anonymity schemes for clustered wireless sensor networks
International Journal of Sensor Networks
Distributed Histograms for Processing Aggregate Data from Moving Objects
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
RFID privacy using spatially distributed shared secrets
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Investigation of calculation/distance measurement method using spread-spectrum communications system
IEEE Transactions on Intelligent Transportation Systems
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
Spatio-temporal database research at the University of Melbourne
ACM SIGMOD Record
Privacy-aware collection of aggregate spatial data
Data & Knowledge Engineering
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Traffic-monitoring systems (TMSs) are vital for safety and traffic optimization. However, these systems may compromise the privacy of drivers once they track the position of each driver with a high degree of temporal precision. In this paper, we argue that aggregated data can protect location privacy while providing accurate information for traffic monitoring. We identify a range of aggregate query types. Our proposed privacy-aware monitoring system (PAMS) works as an aggregate query processor that protects the location privacy of drivers as it anonymizes the IDs of cars. Our experiments show that PAMS answers queries with high accuracy and efficiency.