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Development of an Improved Anonymity in GPS Traces for Analyzing Traffic and Routes


Affiliations
1 Kathir College of Engineering, Coimbatore, India
2 Computer Science and Engineering, Anna university of Technology, Coimbatore, India
     

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The incorporation of Global Positioning System (GPS) receivers and sensors into mobile devices has enabled collaborative sensing applications, to monitor the dynamics of environments through the collection of data from many users’ devices. The automotive traffic monitoring system and alternative route selection estimates traffic congestion from GPS velocity measurements reported from many devices. This paper considers the problem of improving guaranteed anonymity in a locational data set that includes location traces from many users, while maintaining high data accuracy. A novel time-to-confusion criterion to characterize privacy in a locational data set and propose a disclosure control algorithm that selectively reveals GPS samples to limit the maximum time-to confusion for all vehicles. It also considers heading information reported by users in the tracking model to find alternative route.

Keywords

GPS, Traffic Monitoring, Time to Confusion, Alternative Routes.
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  • Development of an Improved Anonymity in GPS Traces for Analyzing Traffic and Routes

Abstract Views: 230  |  PDF Views: 4

Authors

V. Karthik
Kathir College of Engineering, Coimbatore, India
V. Venkatesa Kumar
Computer Science and Engineering, Anna university of Technology, Coimbatore, India

Abstract


The incorporation of Global Positioning System (GPS) receivers and sensors into mobile devices has enabled collaborative sensing applications, to monitor the dynamics of environments through the collection of data from many users’ devices. The automotive traffic monitoring system and alternative route selection estimates traffic congestion from GPS velocity measurements reported from many devices. This paper considers the problem of improving guaranteed anonymity in a locational data set that includes location traces from many users, while maintaining high data accuracy. A novel time-to-confusion criterion to characterize privacy in a locational data set and propose a disclosure control algorithm that selectively reveals GPS samples to limit the maximum time-to confusion for all vehicles. It also considers heading information reported by users in the tracking model to find alternative route.

Keywords


GPS, Traffic Monitoring, Time to Confusion, Alternative Routes.