A Study on Fingerprinting of Locally Assigned MAC-Addresses

The number of WiFi Devices is increasing every day, most people traveling hasa device with a WiFi network card enabled. This is something EffectSoft AB in Halmstad utilizes in their service Flow, to track and count devices. The accuracy of counted devices was however not accurate enough for a commer...

Full description

Bibliographic Details
Main Authors: Djervbrant, Karl-Johan, Häggström, Andreas
Format: Others
Language:English
Published: Högskolan i Halmstad, Akademin för informationsteknologi 2019
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39749
id ndltd-UPSALLA1-oai-DiVA.org-hh-39749
record_format oai_dc
spelling ndltd-UPSALLA1-oai-DiVA.org-hh-397492019-06-19T05:31:10ZA Study on Fingerprinting of Locally Assigned MAC-AddressesengDjervbrant, Karl-JohanHäggström, AndreasHögskolan i Halmstad, Akademin för informationsteknologiHögskolan i Halmstad, Akademin för informationsteknologi2019MAC-Address RandomizationProbe RequestPassive Probe Request AnalysisControl Frame AttacksComputer ScienceNetworkIEEE 802.11WiFiTrackingCounting.Other Engineering and Technologies not elsewhere specifiedÖvrig annan teknikThe number of WiFi Devices is increasing every day, most people traveling hasa device with a WiFi network card enabled. This is something EffectSoft AB in Halmstad utilizes in their service Flow, to track and count devices. The accuracy of counted devices was however not accurate enough for a commercial use and this is where this candidate Thesis will continue research on how to improve the accuracy. It introduces the fundamental problem on how one cannot directly count transmitted MAC-Addresses to count present devices, since the manufacturers implement features against this such as MAC-Address randomization. It covers how manufacturers are not consistent in their implementation of the IEEE 802.11 standard, how this can be utilized to estimate how many devices are present in the networkwith three different approaches. It also concludes that Control Frame Attacks is not a viable approach any longer to count devices and the best method for counting devices are a combination of Passive Probe Request Analysis techniques. Mängden enheter som kommunicerar över WiFi ökar dagligen och idag bär de flesta människor en enhet med ett aktiverat WiFi-nätverkskort. Detta använder EffectSoft AB, ett företag i Halmstad till sin teknik Flow för att räkna mobila enheter. Noggrannheten för beräkningen är dock inte tillräckligt bra för att produkten ska kunna vara applicerbar på marknaden och därav handlar denna kandidatuppsatsen om beräkning av mobila enheter. Denna rapport presenterar de problem som man stöter på vid beräkning av mobila enheter som till exempel randomisering av MAC-Adresser. Den täcker även hur tillverkare inte är konsekventa i sin implementation av IEEE 802.11 standarden och hur detta kan utnyttjas genom tre metoderför beräkning av antal mobila enheter. Det fastställs att Control Frame Attack inte längre är en möjlig metod för syftet samt att den bästa metoden för beräkning avantalet mobila enheter är en kombination av olika passiva Probe Request analyser. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39749application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic MAC-Address Randomization
Probe Request
Passive Probe Request Analysis
Control Frame Attacks
Computer Science
Network
IEEE 802.11
WiFi
Tracking
Counting.
Other Engineering and Technologies not elsewhere specified
Övrig annan teknik
spellingShingle MAC-Address Randomization
Probe Request
Passive Probe Request Analysis
Control Frame Attacks
Computer Science
Network
IEEE 802.11
WiFi
Tracking
Counting.
Other Engineering and Technologies not elsewhere specified
Övrig annan teknik
Djervbrant, Karl-Johan
Häggström, Andreas
A Study on Fingerprinting of Locally Assigned MAC-Addresses
description The number of WiFi Devices is increasing every day, most people traveling hasa device with a WiFi network card enabled. This is something EffectSoft AB in Halmstad utilizes in their service Flow, to track and count devices. The accuracy of counted devices was however not accurate enough for a commercial use and this is where this candidate Thesis will continue research on how to improve the accuracy. It introduces the fundamental problem on how one cannot directly count transmitted MAC-Addresses to count present devices, since the manufacturers implement features against this such as MAC-Address randomization. It covers how manufacturers are not consistent in their implementation of the IEEE 802.11 standard, how this can be utilized to estimate how many devices are present in the networkwith three different approaches. It also concludes that Control Frame Attacks is not a viable approach any longer to count devices and the best method for counting devices are a combination of Passive Probe Request Analysis techniques. === Mängden enheter som kommunicerar över WiFi ökar dagligen och idag bär de flesta människor en enhet med ett aktiverat WiFi-nätverkskort. Detta använder EffectSoft AB, ett företag i Halmstad till sin teknik Flow för att räkna mobila enheter. Noggrannheten för beräkningen är dock inte tillräckligt bra för att produkten ska kunna vara applicerbar på marknaden och därav handlar denna kandidatuppsatsen om beräkning av mobila enheter. Denna rapport presenterar de problem som man stöter på vid beräkning av mobila enheter som till exempel randomisering av MAC-Adresser. Den täcker även hur tillverkare inte är konsekventa i sin implementation av IEEE 802.11 standarden och hur detta kan utnyttjas genom tre metoderför beräkning av antal mobila enheter. Det fastställs att Control Frame Attack inte längre är en möjlig metod för syftet samt att den bästa metoden för beräkning avantalet mobila enheter är en kombination av olika passiva Probe Request analyser.
author Djervbrant, Karl-Johan
Häggström, Andreas
author_facet Djervbrant, Karl-Johan
Häggström, Andreas
author_sort Djervbrant, Karl-Johan
title A Study on Fingerprinting of Locally Assigned MAC-Addresses
title_short A Study on Fingerprinting of Locally Assigned MAC-Addresses
title_full A Study on Fingerprinting of Locally Assigned MAC-Addresses
title_fullStr A Study on Fingerprinting of Locally Assigned MAC-Addresses
title_full_unstemmed A Study on Fingerprinting of Locally Assigned MAC-Addresses
title_sort study on fingerprinting of locally assigned mac-addresses
publisher Högskolan i Halmstad, Akademin för informationsteknologi
publishDate 2019
url http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39749
work_keys_str_mv AT djervbrantkarljohan astudyonfingerprintingoflocallyassignedmacaddresses
AT haggstromandreas astudyonfingerprintingoflocallyassignedmacaddresses
AT djervbrantkarljohan studyonfingerprintingoflocallyassignedmacaddresses
AT haggstromandreas studyonfingerprintingoflocallyassignedmacaddresses
_version_ 1719206937671761920