Difference between revisions of "Hussain2016privacy"
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|keywords=Garbled Circuit, Location Based Services, Location Privacy, Secure Automotive System, Secure Function Evaluation, Smart Cars | |keywords=Garbled Circuit, Location Based Services, Location Privacy, Secure Automotive System, Secure Function Evaluation, Smart Cars | ||
|abstract=<p>This paper presents the first provably secure localization method for smart automotive systems. Using this method, a lost car can compute its location with assistance from three nearby cars while the locations of all the participating cars including the lost car remain private. This localization application is one of the very first location-based services that does not sacrifice accuracy to maintain privacy. The secure location is computed using a protocol utilizing Yao\’s Garbled Circuit (GC) that allows two parties to jointly compute a function on their private inputs. We design and optimize GC netlists of the functions required for computation of location by leveraging conventional logic synthesis tools. Proof-of-concept implementation of the protocol shows that the complete operation can be performed within only 550 ms. The fast computing time enables practical localization of moving cars.</p> | |abstract=<p>This paper presents the first provably secure localization method for smart automotive systems. Using this method, a lost car can compute its location with assistance from three nearby cars while the locations of all the participating cars including the lost car remain private. This localization application is one of the very first location-based services that does not sacrifice accuracy to maintain privacy. The secure location is computed using a protocol utilizing Yao\’s Garbled Circuit (GC) that allows two parties to jointly compute a function on their private inputs. We design and optimize GC netlists of the functions required for computation of location by leveraging conventional logic synthesis tools. Proof-of-concept implementation of the protocol shows that the complete operation can be performed within only 550 ms. The fast computing time enables practical localization of moving cars.</p> | ||
|month=6 | |||
|year=2016 | |||
|booktitle=Design Automation Conference (DAC) | |booktitle=Design Automation Conference (DAC) | ||
|title=Privacy Preserving Localization for Smart Automotive Systems | |title=Privacy Preserving Localization for Smart Automotive Systems | ||
|entry=inproceedings | |entry=inproceedings | ||
| | |pdf=Hussain2016privacy.pdf | ||
}} | }} | ||
Latest revision as of 17:34, 9 November 2021
| Hussain2016privacy | |
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| entry | inproceedings |
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| author | Siam U. Hussain and Farinaz Koushanfar |
| booktitle | Design Automation Conference (DAC) |
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| month | 6 |
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| title | Privacy Preserving Localization for Smart Automotive Systems |
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| year | 2016 |
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| url | http://dl.acm.org/citation.cfm?id=2898071 |
| Hussain2016privacy.pdf | |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093