File:Automating case reports for the analysis of digital evidence (IA automatingcasere109451993).pdf
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Automating case reports for the analysis of digital evidence ( ) | ||
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Author |
Cassidy, Regis H. Friend |
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Title |
Automating case reports for the analysis of digital evidence |
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Publisher |
Monterey, California. Naval Postgraduate School |
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Description |
The reporting process during computer analysis is critical in the practice of digital forensics. Case reports are used to review the process and results of an investigation and serve multiple purposes. The investigator may refer to these reports to monitor the progress of his analysis throughout the investigation. When acting as an expert witness, the investigator will refer to organized documentation to recall past analysis. A lot of time can elapse between the analysis and the actual testimony. Specific reports may also be used in court as visual aids. Not all cases make it to court, but corporate managers will still likely want to review a case report. Since digital forensics is a relatively new field and can have a high learning curve, reports may be used as a mechanism for sharing knowledge of digital forensic practices. Existing open source forensics tools are an inexpensive alternative to commercial products, but lack the functionality to generate case reports. Open source tools are more likely to be accepted by the professional forensics community with this added capability. This thesis adds case report features to the Sleuth Kit and Autopsy Forensic Browser suite of tools, the premiere open-source forensics analysis software currently available. Subjects: Computer science; Computer crimes; Investigation |
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Language | English | |
Publication date | September 2005 | |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
automatingcasere109451993 |
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Source | ||
Permission (Reusing this file) |
Approved for public release, distribution unlimited |
Licensing edit
Public domainPublic domainfalsefalse |
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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current | 22:20, 14 July 2020 | 1,275 × 1,650, 236 pages (1.57 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection automatingcasere109451993 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #8784) |
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Short title | Automating case reports for the analysis of digital evidence |
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Author | Cassidy, Regis H. Friend |
Software used | Cassidy, Regis H. Friend |
Conversion program | Acrobat Distiller 7.0 (Windows) |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.4 |