Name
Title | ||
|---|---|---|
3LSPG: forensic tool evaluation by three layer stochastic process-based generation of data |
Abstract | ||
|---|---|---|
Since organizations cannot prevent all criminal activities of employees by security technology in practice, the application of IT forensic methods for finding traces in data is extremely important. However, new attack variants for occupational crime require new forensic tools and specific environments may require adoptions of methods and tools. Obviously, the development of tools or their adaption require testing using data containing corresponding traces of attacks. Since real-world data are often not available synthetic data are necessary to perform testing. With 3LSPG we propose a systematic method to generate synthetic test data which contain traces of selected attacks. These data can then be used to evaluate the performance of different forensic tools. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-19376-7_18 | ICWF |
Keywords | Field | DocType |
real-world data,available synthetic data,different forensic tool,forensic tool evaluation,corresponding trace,new attack variant,new forensic tool,forensic method,layer stochastic process-based generation,occupational crime,synthetic test data,criminal activity,markov chains,markov chain,stochastic process,synthetic data | Forensic science,Pattern recognition,Computer science,Computer security,White-collar crime,Markov chain,Stochastic process,Synthetic data,Test data,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
6540 | 0302-9743 | 2 |
PageRank | References | Authors |
0.49 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| York Yannikos | 1 | 43 | 7.60 |
| Frederik Franke | 2 | 3 | 1.20 |
| Christian Winter | 3 | 24 | 3.19 |
| Markus Schneider | 4 | 62 | 6.33 |