Privacy-Aware Traffic Monitoring
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 privac...
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| Vydáno v: | IEEE transactions on intelligent transportation systems Ročník 11; číslo 1; s. 61 - 70 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Piscataway, NJ
IEEE
01.03.2010
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 1524-9050, 1558-0016 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Tanin, E. Kulik, L. Hairuo Xie |
| Author_xml | – sequence: 1 surname: Hairuo Xie fullname: Hairuo Xie organization: Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC, Australia – sequence: 2 givenname: L. surname: Kulik fullname: Kulik, L. organization: Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC, Australia – sequence: 3 givenname: E. surname: Tanin fullname: Tanin, E. organization: Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC, Australia |
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| Keywords | Private life Data privacy Spatial data structures Motor car Database query Road vehicle High precision Data processing road vehicle location monitoring Optimization Aggregation Range query Road transportation Privacy Vehicle identification Traffic management Traffic safety road vehicle identification Localization Monitoring |
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| SubjectTerms | Aggregates Applied sciences Computer science; control theory; systems Data processing. List processing. Character string processing Data structures Drivers Exact sciences and technology Ground, air and sea transportation, marine construction Histograms Information systems. Data bases Intrusion detection Memory and file management (including protection and security) Memory organisation. Data processing Monitoring Position (location) Privacy Protection Query processing road transportation road vehicle identification road vehicle location monitoring Road vehicles Safety Software spatial data structures Telecommunication traffic Traffic engineering Traffic flow |
| Title | Privacy-Aware Traffic Monitoring |
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