Wi-Fi network testing using an integrated Evil-Twin framework

dc.contributor.authorEsser, A.
dc.contributor.authorSerrão, C.
dc.date.accessioned2019-01-10T17:43:23Z
dc.date.available2019-01-10T17:43:23Z
dc.date.issued2018
dc.description.abstractThis work intends to present a newly developed Wi- Fi vulnerability analysis and exploitation framework with the objective of increasing Wi-Fi security. The developed framework focuses primarily on client-side vulnerabilities, currently a weak- ness on Wi-Fi connections, but can be extended to support any type of Wi-Fi attack. The framework was designed and is in- tended to be used by security auditors when performing intrusion tests on Wi-Fi networks. It can also be used as a proof-of-concept tool meant to teach and raise awareness of the risks involved when using Wi-Fi technologies. The developed framework is based on open-source software and is also available as open- source software, allowing developers to extend its functionality.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.date2018
dc.event.locationValenciaeng
dc.event.typeConferênciapt
dc.identifier.doi10.1109/IoTSMS.2018.8554388
dc.identifier.isbn978-1-5386-9585-2
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-53010
dc.identifier.urihttp://hdl.handle.net/10071/17047
dc.journalThe Fifth International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018
dc.language.isoeng
dc.pagination216 - 221
dc.peerreviewedyes
dc.publisherIEEE
dc.relationUID/MULTI/0446/2013
dc.rightsopen access
dc.subjectWi-Fieng
dc.subjectSecurityeng
dc.subjectEvil-twineng
dc.subjectAttackseng
dc.subjectPentestingeng
dc.subjectAuditingeng
dc.titleWi-Fi network testing using an integrated Evil-Twin frameworkeng
dc.typeconferenceObject
degois.publication.firstPage216
degois.publication.lastPage221
degois.publication.locationValenciaeng
degois.publication.titleWi-Fi network testing using an integrated Evil-Twin frameworkeng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.wosWOS:000455671800032

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