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AuthorVan der Heijden, Rens W.dc.contributor.author
AuthorKargl, Frankdc.contributor.author
AuthorAl-Momani, Ala'adc.contributor.author
AuthorAbu-Sharkh, Osama M. F.dc.contributor.author
Date of accession2017-09-01T12:39:15Zdc.date.accessioned
Available in OPARU since2017-09-01T12:39:15Zdc.date.available
Year of creation2016-03-31dc.date.created
Date of first publication2016-03-31dc.date.issued
AbstractThe integrity of messages in vehicular ad-hoc networks has been extensively studied by the research community, resulting in the IEEE 1609.2 standard, which provides typical integrity guarantees. However, the correctness of message contents is still one of the main challenges of applying dependable and secure vehicular ad-hoc networks. One important use case is the validity of position information contained in messages: position verification mechanisms have been proposed in the literature to provide this functionality. A more general approach to validate such information is by applying misbehavior detection mechanisms. In this paper, we consider misbehavior detection by enhancing two position verification mechanisms and fusing their results in a generalized framework using subjective logic. We conduct extensive simulations using VEINS to study the impact of traffic density, as well as several types of attackers and fractions of attackers on our mechanisms. The obtained results show the proposed framework can validate position information as effectively as existing approaches in the literature, without tailoring the framework specifically for this use case.dc.description.abstract
AbstractCorrection: revised the way an opinion is created with eART, and re-did the experiments (uploaded at arxiv as correction in agreement with TPC Chairs).dc.description.abstract
Languageen_USdc.language.iso
PublisherUniversität Ulmdc.publisher
Earlier versionhttp://dx.doi.org/10.18725/OPARU-4080dc.relation.isversionof
Earlier versionhttp://dx.doi.org/10.1109/VTCFall.2016.7881000dc.relation.isversionof
ID of original publ.https://arxiv.org/abs/1703.10399v2dc.relation.uri
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordMisbehavior detectiondc.subject
KeywordSubjective logicdc.subject
KeywordIntrusion detectiondc.subject
KeywordSecuritydc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
LCSHVehicular ad hoc networks (Computer networks)dc.subject.lcsh
LCSHIntrusion detection systems (Computer security)dc.subject.lcsh
TitleEnhanced position verification for VANETs using subjective logicdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionupdatedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-4501dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-4540-2dc.identifier.urn
GNDVANETdc.subject.gnd
GNDComputersicherheitdc.subject.gnd
GNDEindringerkennungdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Verteilte Systemeuulm.affiliationSpecific
Citation of original publ.Rens W. van der Heijden, Ala'a Al-Momani, Frank Kargl, Osama M.F. Abu-Sharkh. Enhanced position verification for VANETs using subjective logic. Submitted on 30 Mar 2017 (v1), last revised 31 Mar 2017 (this version, v2), corrected version of a paper submitted to 2016 IEEE 84th Vehicular Technology Conference (VTC2016-Fall). Verfügbar bei arXiv.uulm.citationOrigPub
Edition2. korr. Aufl.uulm.edition
Peer reviewneinuulm.peerReview
Publisher of original publ.arXivuulm.publisher
DCMI TypeTextuulm.typeDCMI
TypeZweitveröffentlichunguulm.veroeffentlichung
CategoryPublikationenuulm.category
Conference name2016 IEEE 84th Vehicular Technology Conference (VTC2016-Fall)uulm.conferenceName
Conference placeMontréaluulm.conferencePlace
Conference start date2016-09-18uulm.conferenceStartDate
Conference end date2016-09-21uulm.conferenceEndDate


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