2013
DOI: 10.1016/j.sysarc.2013.07.009
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WEVAN – A mechanism for evidence creation and verification in VANETs

Abstract: There are traffic situations (e.g. incorrect speeding tickets) in which a given vehicle's driving behavior at some point in time has to be proved to a third party. Vehicle-mounted sensorial devices are not suitable for this matter since they can be maliciously manipulated. However, surrounding vehicles may give their vision on another one's behavior. Furthermore, these data may be shared with the affected vehicle through VANETs. In this paper, a VANET-enabled data exchange mechanism called WEVAN is presented. … Show more

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Cited by 10 publications
(5 citation statements)
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References 15 publications
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“…How this evidence is securely stored is out of the scope of their work. In [8] authors make the collection of evidence and witnesses the focus of their work, but only from the vehicle point of view (requester) and functionally oriented to demonstrate vehicle's facts, like for instance when in need for challenging a driving fine.…”
Section: Security Challenges In Vehicular Networkmentioning
confidence: 99%
“…How this evidence is securely stored is out of the scope of their work. In [8] authors make the collection of evidence and witnesses the focus of their work, but only from the vehicle point of view (requester) and functionally oriented to demonstrate vehicle's facts, like for instance when in need for challenging a driving fine.…”
Section: Security Challenges In Vehicular Networkmentioning
confidence: 99%
“…This is not erroneous, it just means that they were designed for another purpose. For example, in [ 22 ], the authors propose a solution to acquire digital evidence from vehicles that act as witnesses in a vehicular ad-hoc network (VANET). However, privacy principles are not considered, probably because the cost of an incident in such a critical network is sufficient motivation for the adoption of the approach.…”
Section: Related Workmentioning
confidence: 99%
“…Some schemes allocate the escrow functionality in a distributed way to prevent it from corrupted law enforcement authorities [14,15]. By contrast, in other complementary approaches, evidence generation about driver behaviour is based on an alternative data source [16]. Moreover, we have previously explored how to apply ITS technologies for enforcement as to improve the offence description and the offender identification [5].…”
Section: Introductionmentioning
confidence: 99%