Name
Abstract | ||
|---|---|---|
Timestamps are among the most expressive artefacts in a digital forensic investigation. Our research shows that the distinct patterns caused by the interaction with individual files can yield more insight than previously documented and enables application fingerprinting within a Windows environment through timestamps alone. Furthermore, we classify timestamp forgery tools and present a means to detect their use. |
Year | Venue | DocType |
|---|---|---|
2022 | ERCIM NEWS | Journal |
Issue | ISSN | Citations |
129 | 0926-4981 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Luh | 1 | 0 | 0.68 |
| Michael Galhuber | 2 | 0 | 0.34 |