Name
Abstract | ||
|---|---|---|
Numerous challenges currently face digital forensic analysis. Although a variety of techniques and tools exist to assist with the analysis of digital evidence, they inadequately address key problems. We consider the applicability and usefulness of weaving ontologies to address some of these problems. We introduce an ontological approach leading to future development of an automated digital forensic analysis tool. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISI.2009.5137303 | Dallas, TX |
Keywords | Field | DocType |
ontological approach,key problem,digital evidence,future development,automated digital forensic analysis,weaving ontology,numerous challenge,digital forensic analysis,unified modeling language,weaving,face detection,digital forensics,data mining,law,ontologies,forensics,computer science,data analysis | Ontology (information science),Data science,Data mining,Ontology,Weaving,Digital forensics,Unified Modeling Language,Computer science,Digital evidence,Face detection,Open source software | Conference |
ISBN | Citations | PageRank |
978-1-4244-4173-0 | 9 | 0.80 |
References | Authors | |
10 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Allyson M. Hoss | 1 | 15 | 1.31 |
| Doris L. Carver | 2 | 232 | 34.66 |