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Conference Paper: Enhancing location privacy for electric vehicles (at the right time)

TitleEnhancing location privacy for electric vehicles (at the right time)
Authors
Issue Date2012
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, v. 7459 LNCS, p. 397-414 How to Cite?
AbstractAn electric vehicle is a promising and futuristic automobile propelled by electric motor(s), using electrical energy stored in batteries or another energy storage device. Due to the need of battery recharging, the cars will be required to visit recharging infrastructure very frequently. This may disclose the users' private information, such as their location, which may expose users' privacy. In this paper, we provide mechanisms to enhance location privacy of electric vehicles at the right time, by proposing an anonymous payment system with privacy protection support. Our technique further allows traceability in the case where the cars are stolen. © 2012 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/280780
ISSN
2023 SCImago Journal Rankings: 0.606

 

DC FieldValueLanguage
dc.contributor.authorLiu, Joseph K.-
dc.contributor.authorAu, Man Ho-
dc.contributor.authorSusilo, Willy-
dc.contributor.authorZhou, Jianying-
dc.date.accessioned2020-02-17T14:34:55Z-
dc.date.available2020-02-17T14:34:55Z-
dc.date.issued2012-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, v. 7459 LNCS, p. 397-414-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/280780-
dc.description.abstractAn electric vehicle is a promising and futuristic automobile propelled by electric motor(s), using electrical energy stored in batteries or another energy storage device. Due to the need of battery recharging, the cars will be required to visit recharging infrastructure very frequently. This may disclose the users' private information, such as their location, which may expose users' privacy. In this paper, we provide mechanisms to enhance location privacy of electric vehicles at the right time, by proposing an anonymous payment system with privacy protection support. Our technique further allows traceability in the case where the cars are stolen. © 2012 Springer-Verlag.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleEnhancing location privacy for electric vehicles (at the right time)-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-33167-1_23-
dc.identifier.scopuseid_2-s2.0-84865594951-
dc.identifier.volume7459 LNCS-
dc.identifier.spage397-
dc.identifier.epage414-
dc.identifier.eissn1611-3349-
dc.identifier.issnl0302-9743-

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