In this thesis, we did a forensic analysis of a Nintendo Switch gaming console. It is both a portable and a stationary device, which makes it so that it could contain valuable information about the usage of the console at home and elsewhere. Multiple methods of data extraction were used, including using an exploit to obtain storage memory, extracting the contents of the SD card and capturing network traffic. The findings from the analysis of these data sources were compared to the information on the user interface. Any information that could not be found on the user interface was reported. The main findings of memory analysis were a detailed log file of user interactions, JSON files with personal information such as email addresses, and crash logs with information about the state of the console during the crash. The SD card mainly contains screenshots with embedded timestamps, and the network capture does not contain any forensically relevant information. The combination of these different types of information could makethe Nintendo Switch a useful source of evidence during an investigation.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-42451 |
| Date | January 2020 |
| Creators | van den Berg, Jelle, Lagerholm, Filip |
| Publisher | Högskolan i Halmstad, Akademin för informationsteknologi, Högskolan i Halmstad, Akademin för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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