kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Forensic Analysis of Footstep Data
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Forensisk analys av fotsteg data (Swedish)
Abstract [en]

Digital forensics is a niche field of study that encompasses such things as extraction, analysis and presentation of digital information, that could be used to produce forensic evidence. There are several companies whose sole specialization is providing technical software solutions to detectives to help them quickly analyze retrieved devices that might contain evidence, instead of having to send the devices to forensic labs. However, there are still many areas that aren’t fully explored within the digital forensics industry, such as using personal health data. A factor that confounds this problem is that there are many different mobile devices running different operating systems and different versions of different applications. This report examines footstep data extraction and visualization on Android. Whether this data could be used as evidence according to law enforcement agencies is also investigated. Following a literature study to gain knowledge of the field of digital forensics, an experiment was conducted to gather data on a device through the Samsung Health application. This data was extracted and converted into a database, which was visualized using a prototype in the form of charts. Finally a technical trainer and former police officer was interviewed regarding whether the prototype could be seen as a proof-of-concept for future implementation among digital forensics solution providers. It was concluded that step data visualized in the form of graphs would be useful as forensic evidence for law enforcement detectives and juries.

Abstract [sv]

Digital forensik är ett studieområde som omfattar extraktion, analys och presentation av digital information, som kan användas för att producera forensiskt bevis. Det finns flera firmor som specialiserar i att utrusta detektiver med mjukvarulösningar som kan analysera enheter som kan innehålla bevis, istället för att skicka enheten till ett forensiskt lab. Det finns dock många områden som inte är helt utforskade inom digital forensik, som användning av personlig hälsodata. En faktor som utökar detta problem är att det finns många olika mobila enheter som kör olika operativsystem med olika versioner av olika applikationer. Denna rapport undersöker fotstegsdata extraktion och visualisering på Android. Om denna data kan användas som bevis av rättsväsende blir också utforskat. Efter en litteraturstudie för att få mer kunskap inom digital forensik, utfördes ett experiment för att samla data på en enhet genom Samsung Health- applikationen. Detta data extraherades och konverterades till en databas, som visualiserades genom en prototyp i form av grafer. Slutligen intervjuades en teknisk tränare och ex-polis för att se om prototypen skulle kunna ses som ett bevis på att digital forensik skulle kunna implementera stöd för fotstegsdata i framtiden. Slutsatsen drogs att stegsdata visualiserat i form av grafer skulle vara användbara som forensiskt bevis för detektiver och juryer.

Place, publisher, year, edition, pages
2023. , p. 52
Series
TRITA-EECS-EX ; 2023:371
Keywords [en]
Digital forensics, Samsung Health, Footstep data, Data visualization, Android
Keywords [sv]
Digital forensik, Samsung Health, Fotstegsdata, Data visualisering, Android
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-330661OAI: oai:DiVA.org:kth-330661DiVA, id: diva2:1778108
External cooperation
MSAB
Supervisors
Examiners
Available from: 2023-09-07 Created: 2023-06-30 Last updated: 2023-09-07Bibliographically approved

Open Access in DiVA

fulltext(1402 kB)370 downloads
File information
File name FULLTEXT01.pdfFile size 1402 kBChecksum SHA-512
441b56da7c9f0fca32150bc0af369571fecb404ce7f0a3db0f5ac45a547c977204eda422d5e58ae32a81001b1a4a16ad80c25a939bccddd90fd8eeb399485e66
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering and Computer Science (EECS)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 371 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 577 hits
CiteExportLink to record
Permanent link

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