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Digital Forensic Investigations Visualized
Details
Computer forensic modeling approaches provide a planned way of executing computer forensic investigations. Several approaches have been developed, yet many of these approaches lack much of the needed empirical evidence of their application and usage. In addition, one of the many reasons is that these approaches are not being used. For instance, forensic examiners often rely on their own knowledge of the investigative process and generally use commercial software to search and identify evidence during an investigation. Another reason is that research has not been conducted to determine if computer forensic examiners are aware of computer forensic modeling methodologies. For those examiners who are familiar with one or more of these modeling approaches, research is necessary to find out if these approaches are applied to real digital forensic investigations. The concept mapping case domain modeling approach, discussed in this book, provides a simplified method for representing case details, for identifying relevant forensic case information from the case details, and for providing an organized, structured method for planning, examining, and analyzing computer forensics cases.
Autorentext
April L. Tanner, Ph.D.: Studied Computer Science and Engineering at Mississippi State University and is currently a Research Associate at Jackson State University. David A. Dampier, Ph.D.: Associate Professor of Computer Science and Engineering at Mississippi State University and Director of the National Forensics Training Center in Jackson, MS.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783844397772
- Sprache Englisch
- Größe H220mm x B150mm x T10mm
- Jahr 2011
- EAN 9783844397772
- Format Kartonierter Einband
- ISBN 3844397779
- Veröffentlichung 06.06.2011
- Titel Digital Forensic Investigations Visualized
- Autor April L. Tanner , David A. Dampier
- Untertitel Using Conceptual Mapping for Case Management
- Gewicht 256g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 160
- Genre Informatik