File:Automated metadata extraction (IA automatedmetadat109454057).pdf
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Summary[edit]
Automated metadata extraction
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| Author |
Migletz, James J. |
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| Title |
Automated metadata extraction |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
Metadata is data that describes data. There are many computer forensic uses of metadata and being able to extract metadata automatically provides positive forensic implications. This thesis presents a new technique for batch processing disk images and automatically extracting metadata from files and file contents. The technique is embodied in a program called fiwalk that has a plug-in architecture allowing new metadata extractors to be readily incorporated. Output from fiwalk can be provided in multiple formats such as ARFF and text. The plug-ins created for this thesis include one created by Simson Garfinkel for extracting metadata from .jpeg files, two for Microsoft Office documents (one for prior to Office 2007 release and one for Office 2007 release), and a default plug-in for extracting metadata from .gif, .pdf, and .mp3 files. To better understand the metadata available in common file formats such as .doc, .docx, .odt, .pdf, .mp3, .mp4, .jpeg, tiff, and .gif, an examination of these formats is provided. Subjects: Metadata; Data mining |
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| Language | English | |
| Publication date | June 2008 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
automatedmetadat109454057 |
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| Source | ||
| Permission (Reusing this file) |
Approved for public release, distribution unlimited | |
Licensing[edit]
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 22:08, 14 July 2020 |  | 1,275 × 1,650, 84 pages (315 KB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection automatedmetadat109454057 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #8754) |
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