Yannikos, York ; Franke, Frederik ; Winter, Christian ; Schneider, Markus
Hrsg.: Sako, Hiroshi ; Franke, Katrin ; Saitoh, Shuji (2011)
3LSPG: Forensic Tool Evaluation by Three Layer Stochastic Process-Based Generation of Data.
Tokyo, Japan
doi: 10.1007/978-3-642-19376-7_18
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2011 |
| Herausgeber: | Sako, Hiroshi ; Franke, Katrin ; Saitoh, Shuji |
| Autor(en): | Yannikos, York ; Franke, Frederik ; Winter, Christian ; Schneider, Markus |
| Art des Eintrags: | Bibliographie |
| Titel: | 3LSPG: Forensic Tool Evaluation by Three Layer Stochastic Process-Based Generation of Data |
| Sprache: | Englisch |
| Publikationsjahr: | Februar 2011 |
| Verlag: | Springer |
| Buchtitel: | Computational Forensics, Fourth International Workshop, IWCF 2010, Tokyo, Japan, November 11–12, 2010, Revised Selected Papers |
| Reihe: | LNCS |
| Band einer Reihe: | 6540 |
| Veranstaltungsort: | Tokyo, Japan |
| DOI: | 10.1007/978-3-642-19376-7_18 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Secure Data;White collar crime, synthetic data, Markov chains |
| ID-Nummer: | TUD-CS-2010-0202 |
| Fachbereich(e)/-gebiet(e): | LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt LOEWE > LOEWE-Zentren LOEWE |
| Hinterlegungsdatum: | 30 Dez 2016 20:23 |
| Letzte Änderung: | 17 Mai 2018 13:02 |
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