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Unveiling Data Artefacts in Private Web Browsing: A Comparative Digital Forensics Study
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The Internet has brought invaluable advantages to society and has become a key component of our lives. Many things have been facilitated by this, for example, the ability to connect social to distant family members, ecommerce, business opportunities, or the possibility to learn through distance learning. However, it also raised concerns about user privacy and the issue of data harvesting during these online activities. Private Web Browsers aim to mitigate these concerns by reducing the amount of data that can be collected, yet a defined answer to what data artefacts can still be collected after a browsing session remains unclear, especially when digital forensics techniques are deployed. Data artefacts are residual information or traces that are left by using systems applications and devices.

This research aims to investigate these data artefacts by divining into the Computer Forensics branch and extracting data from Random Access Memory (RAM) and Hard Disk Drive (HDD). We note that these data artefacts may be affected by several variables which are the operating system, private web browser itself, state of the machine, and the state of the web browsing session. A series of experiments in a virtualized environment were conducted and the data collected was examined to determine what data artifacts were still recoverable and under which conditions.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Data Privacy Concerns, Digital Forensics, Private Web Browsers, Data Artefacts, RAM Data Extraction, HDD Data Recovery, Virtualized Environment Experiments, Online User Privacy, Operating System Variables
National Category
Information Systems
Identifiers
URN: urn:nbn:se:ltu:diva-108653OAI: oai:DiVA.org:ltu-108653DiVA, id: diva2:1890860
Subject / course
Student thesis, at least 30 credits
Educational program
Information Security, master's level (120 credits)
Supervisors
Examiners
Available from: 2024-08-23 Created: 2024-08-20 Last updated: 2024-11-12Bibliographically approved

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b5a8c34bc054e76e550c8ecbdfa566dcf89fd5e5784ea4511af4d4f623c67a64ef0c64ca0bbe1cd2a14cc81564e10bd5cbdc2da4e33daf54461839912fcdc0ba
Type fulltextMimetype application/pdf

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Department of Computer Science, Electrical and Space Engineering
Information Systems

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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