Differential privacy in intelligent transportation systems

Frank Kargl; Arik Friedman; Roksana Boreli

doi:10.1145/2462096.2462114

Differential privacy in intelligent transportation systems

Frank Kargl, Arik Friedman, Roksana Boreli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

30 Citations (Scopus)

291 Downloads (Pure)

Abstract

In this paper, we investigate how the concept of differential privacy can be applied to Intelligent Transportation Systems (ITS), focusing on protection of Floating Car Data (FCD) stored and processed in central Traffic Data Centers (TDC). We illustrate an integration of differential privacy with privacy policy languages and policy-enforcement frameworks like the PRECIOSA PeRA architecture. Next, we identify differential privacy mechanisms to be integrated within the policy-enforcement framework and provide guidelines for the calibration of parameters to ensure specific privacy guarantees, while still supporting the level of accuracy required for ITS applications. We also discuss the challenges that the support of user-level differential privacy presents and outline a potential solution. As a result, we show that differential privacy could be put to practical use in ITS to enable strong protection of users' personal data.

Original language	Undefined
Title of host publication	WiSec '13 Proceedings of the sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	107-112
Number of pages	6
ISBN (Print)	978-1-4503-1998-0
DOIs	https://doi.org/10.1145/2462096.2462114
Publication status	Published - 19 Apr 2013
Event	6th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2013 - Budapest, Hungary Duration: 17 Apr 2013 → 19 Apr 2013 Conference number: 6

Publication series

Name
Publisher	ACM

Conference

Conference	6th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2013
Abbreviated title	WiSec
Country/Territory	Hungary
City	Budapest
Period	17/04/13 → 19/04/13

Keywords

SCS-Cybersecurity
EC Grant Agreement nr.: FP7/269994
EC Grant Agreement nr.: FP7-SEC-285477-CRISALIS
EWI-23385
Differential
Transportation
METIS-297664
Privacy
intelligent
intelligent transportation systems
IR-86140
ITS
Differential privacy
System(s)

Access to Document

10.1145/2462096.2462114

kargl

Cite this

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title = "Differential privacy in intelligent transportation systems",

abstract = "In this paper, we investigate how the concept of differential privacy can be applied to Intelligent Transportation Systems (ITS), focusing on protection of Floating Car Data (FCD) stored and processed in central Traffic Data Centers (TDC). We illustrate an integration of differential privacy with privacy policy languages and policy-enforcement frameworks like the PRECIOSA PeRA architecture. Next, we identify differential privacy mechanisms to be integrated within the policy-enforcement framework and provide guidelines for the calibration of parameters to ensure specific privacy guarantees, while still supporting the level of accuracy required for ITS applications. We also discuss the challenges that the support of user-level differential privacy presents and outline a potential solution. As a result, we show that differential privacy could be put to practical use in ITS to enable strong protection of users' personal data.",

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author = "Frank Kargl and Arik Friedman and Roksana Boreli",

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doi = "10.1145/2462096.2462114",

language = "Undefined",

isbn = "978-1-4503-1998-0",

publisher = "Association for Computing Machinery",

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Kargl, F, Friedman, A & Boreli, R 2013, Differential privacy in intelligent transportation systems. in WiSec '13 Proceedings of the sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks. Association for Computing Machinery, New York, pp. 107-112, 6th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2013, Budapest, Hungary, 17/04/13. https://doi.org/10.1145/2462096.2462114

Differential privacy in intelligent transportation systems. / Kargl, Frank; Friedman, Arik; Boreli, Roksana.

WiSec '13 Proceedings of the sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks. New York : Association for Computing Machinery, 2013. p. 107-112.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper, we investigate how the concept of differential privacy can be applied to Intelligent Transportation Systems (ITS), focusing on protection of Floating Car Data (FCD) stored and processed in central Traffic Data Centers (TDC). We illustrate an integration of differential privacy with privacy policy languages and policy-enforcement frameworks like the PRECIOSA PeRA architecture. Next, we identify differential privacy mechanisms to be integrated within the policy-enforcement framework and provide guidelines for the calibration of parameters to ensure specific privacy guarantees, while still supporting the level of accuracy required for ITS applications. We also discuss the challenges that the support of user-level differential privacy presents and outline a potential solution. As a result, we show that differential privacy could be put to practical use in ITS to enable strong protection of users' personal data.

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