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A Study on Fingerprinting of Locally Assigned MAC-Addresses
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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.

Abstract [sv]

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.

Place, publisher, year, edition, pages
2019.
Keywords [en]
MAC-Address Randomization, Probe Request, Passive Probe Request Analysis, Control Frame Attacks, Computer Science, Network, IEEE 802.11, WiFi, Tracking, Counting.
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:hh:diva-39749OAI: oai:DiVA.org:hh-39749DiVA, id: diva2:1324343
External cooperation
Effectsoft AB Halmstad
Educational program
Computer Science and Engineering, 300 credits
Supervisors
Examiners
Available from: 2019-06-18 Created: 2019-06-13 Last updated: 2019-06-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf