File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/978-3-642-33167-1_23
- Scopus: eid_2-s2.0-84865594951
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Enhancing location privacy for electric vehicles (at the right time)
| Title | Enhancing location privacy for electric vehicles (at the right time) |
|---|---|
| Authors | |
| Issue Date | 2012 |
| 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? |
| Abstract | An 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 Identifier | http://hdl.handle.net/10722/280780 |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Joseph K. | - |
| dc.contributor.author | Au, Man Ho | - |
| dc.contributor.author | Susilo, Willy | - |
| dc.contributor.author | Zhou, Jianying | - |
| dc.date.accessioned | 2020-02-17T14:34:55Z | - |
| dc.date.available | 2020-02-17T14:34:55Z | - |
| dc.date.issued | 2012 | - |
| dc.identifier.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 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/280780 | - |
| dc.description.abstract | An 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.language | eng | - |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.title | Enhancing location privacy for electric vehicles (at the right time) | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-642-33167-1_23 | - |
| dc.identifier.scopus | eid_2-s2.0-84865594951 | - |
| dc.identifier.volume | 7459 LNCS | - |
| dc.identifier.spage | 397 | - |
| dc.identifier.epage | 414 | - |
| dc.identifier.eissn | 1611-3349 | - |
| dc.identifier.issnl | 0302-9743 | - |