Logo des Repositoriums
 

Collecting Identifying Data for Re-Identification of Mobile Devices carried at a Crime Scene using Wi-Fi Routers

Kurzanzeige
dc.contributor.authorVogel,Daniel
dc.contributor.authorKrämer,Markus
dc.contributor.editorDemmler, Daniel
dc.contributor.editorKrupka, Daniel
dc.contributor.editorFederrath, Hannes
dc.date.accessioned2022-09-28T17:09:56Z
dc.date.available2022-09-28T17:09:56Z
dc.date.issued2022
dc.description.abstractMobile devices such as smartphones constantly probe the surrounding wireless medium for providing services to users, thus leaving traces that, when analysed, can link their presence to a crime. Those passive observations, combined with actively tricking devices to cooperate with foreign networks, can yield an attractive device profile. Though past research explores independent methods for collecting single identifiers of devices, a holistic approach for data seizure and utilization for law enforcement is missing. As devices carried by criminals are not willing to share identifiers with a victim's home network, we combine collection processes for device-identifying data with exploiting viable wireless communication protocols. Using the presented approach allows to build a system supporting law enforcement with evidence that certain mobile devices were present at a crime scene and thus may give clues on further investigations on suspects.en
dc.identifier.doi10.18420/inf2022_10
dc.identifier.isbn978-3-88579-720-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39460
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-326
dc.subjectWi-Fi
dc.subjectMAC-Address
dc.subjectCellular
dc.subjectIMSI
dc.subjectEvidence
dc.subjectLaw Enforcement
dc.titleCollecting Identifying Data for Re-Identification of Mobile Devices carried at a Crime Scene using Wi-Fi Routersen
gi.citation.endPage128
gi.citation.startPage119
gi.conference.date26.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitleInternational Workshop On Digital Forensics (IWDF)

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
iwdf_10.pdf
Größe:
979.46 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften