Vpriv: Protecting Privacy in Location-Based Vehicular Services
A variety of location-based vehicular services are currently being woven into the national transportation infrastructure in many countries. These include usage- or congestion-based road pricing, traffic law enforcement, traffic monitoring, “pay-as-you-go” insurance, and vehicle safety systems....
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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USENIX Association
2010
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| Online Access: | http://hdl.handle.net/1721.1/58903 https://orcid.org/0000-0002-1455-9652 |
| _version_ | 1826207613299195904 |
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| author | Papa, Raluca Ada Balakrishnan, Hari |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Papa, Raluca Ada Balakrishnan, Hari |
| author_sort | Papa, Raluca Ada |
| collection | MIT |
| description | A variety of location-based vehicular services are currently
being woven into the national transportation infrastructure
in many countries. These include usage- or
congestion-based road pricing, traffic law enforcement,
traffic monitoring, “pay-as-you-go” insurance, and vehicle
safety systems. Although such applications promise
clear benefits, there are significant potential violations
of the location privacy of drivers under standard implementations
(i.e., GPS monitoring of cars as they drive,
surveillance cameras, and toll transponders).
In this paper, we develop and evaluate VPriv, a system
that can be used by several such applications without
violating the location privacy of drivers. The starting
point is the observation that in many applications,
some centralized server needs to compute a function of a
user’s path—a list of time-position tuples. VPriv provides
two components: 1) the first practical protocol
to compute path functions for various kinds of tolling,
speed and delay estimation, and insurance calculations
in a way that does not reveal anything more than the result
of the function to the server, and 2) an out-of-band
enforcement mechanism using random spot checks that
allows the server and application to handle misbehaving
users. Our implementation and experimental evaluation
of VPriv shows that a modest infrastructure of a
few multi-core PCs can easily serve 1 million cars. Using
analysis and simulation based on real vehicular data
collected over one year from the CarTel project’s testbed
of 27 taxis running in the Boston area, we demonstrate
that VPriv is resistant to a range of possible attacks. |
| first_indexed | 2024-09-23T13:52:17Z |
| format | Article |
| id | mit-1721.1/58903 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:52:17Z |
| publishDate | 2010 |
| publisher | USENIX Association |
| record_format | dspace |
| spelling | mit-1721.1/589032022-10-01T17:39:59Z Vpriv: Protecting Privacy in Location-Based Vehicular Services Papa, Raluca Ada Balakrishnan, Hari Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Balakrishnan, Hari Popa, Raluca Ada Balakrishnan, Hari A variety of location-based vehicular services are currently being woven into the national transportation infrastructure in many countries. These include usage- or congestion-based road pricing, traffic law enforcement, traffic monitoring, “pay-as-you-go” insurance, and vehicle safety systems. Although such applications promise clear benefits, there are significant potential violations of the location privacy of drivers under standard implementations (i.e., GPS monitoring of cars as they drive, surveillance cameras, and toll transponders). In this paper, we develop and evaluate VPriv, a system that can be used by several such applications without violating the location privacy of drivers. The starting point is the observation that in many applications, some centralized server needs to compute a function of a user’s path—a list of time-position tuples. VPriv provides two components: 1) the first practical protocol to compute path functions for various kinds of tolling, speed and delay estimation, and insurance calculations in a way that does not reveal anything more than the result of the function to the server, and 2) an out-of-band enforcement mechanism using random spot checks that allows the server and application to handle misbehaving users. Our implementation and experimental evaluation of VPriv shows that a modest infrastructure of a few multi-core PCs can easily serve 1 million cars. Using analysis and simulation based on real vehicular data collected over one year from the CarTel project’s testbed of 27 taxis running in the Boston area, we demonstrate that VPriv is resistant to a range of possible attacks. 2010-10-06T15:39:36Z 2010-10-06T15:39:36Z 2009-01 2009-08 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/58903 Popa, Raluca Ada, Hari Balakrishnan and Andrew J. Blumberg. "Vpriv: Protecting Privacy in Location-Based Vehicular Services." Proceedings of the 18th Conference on USENIX Security Symposium. Montreal, Canada. August 10-14, 2009. https://orcid.org/0000-0002-1455-9652 en_US Proceedings of the 18th conference on USENIX security symposium Attribution-Noncommercial-Share Alike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf USENIX Association MIT web domain |
| spellingShingle | Papa, Raluca Ada Balakrishnan, Hari Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title | Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title_full | Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title_fullStr | Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title_full_unstemmed | Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title_short | Vpriv: Protecting Privacy in Location-Based Vehicular Services |
| title_sort | vpriv protecting privacy in location based vehicular services |
| url | http://hdl.handle.net/1721.1/58903 https://orcid.org/0000-0002-1455-9652 |
| work_keys_str_mv | AT paparalucaada vprivprotectingprivacyinlocationbasedvehicularservices AT balakrishnanhari vprivprotectingprivacyinlocationbasedvehicularservices |