Obfuscated RSUs Vector Based Signature Scheme for Detecting Conspiracy Sybil Attack in VANETs
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
Given the popularity of vehicular Ad hoc networks (VANETs) in traffic management, a new challenging issue comes into traffic safety, that is, security of the networks, especially when the adversary breaks defence.
Sybil attack, for example, is a potential security threat through forging several identities to carry out attacks in VANETs.
At this point, the paper proposed a solution named DMON that is a Sybil attack detection method with obfuscated neighbor relationship of Road Side Units (RSUs).
DMON presents a ring signature based identification scheme and replaces vehicles’ identities with their trajectory for the purpose of anonymity.
Furthermore, the neighbor relationship of RSUs is obfuscated to achieve privacy preserving of locations.
The proposed scheme has been formally proved in the views of security and performance.
Simulation has also been implemented to validate the scheme, in which the findings reveal the lower computational overhead and higher detection rate comparing with other related solutions.
American Psychological Association (APA)
Feng, Xia& Tang, Jin. 2017. Obfuscated RSUs Vector Based Signature Scheme for Detecting Conspiracy Sybil Attack in VANETs. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189069
Modern Language Association (MLA)
Feng, Xia& Tang, Jin. Obfuscated RSUs Vector Based Signature Scheme for Detecting Conspiracy Sybil Attack in VANETs. Mobile Information Systems No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1189069
American Medical Association (AMA)
Feng, Xia& Tang, Jin. Obfuscated RSUs Vector Based Signature Scheme for Detecting Conspiracy Sybil Attack in VANETs. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189069
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189069