This master thesis proposes digital forensic methods for retrieval and analysis of steganography during a digital investigation. These proposed methods are examined using scenarios. From the examination of steganography and these cases, it is concluded that the recommended methods can be automated and increase the chances for an investigator to detect steganography.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ntnu-9264 |
| Date | January 2005 |
| Creators | Furuseth, Andreas Grytting |
| Publisher | Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, Institutt for datateknikk og informasjonsvitenskap |
| 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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