A new Attack Composition for Network Security
| dc.contributor.author | Beer, Frank | |
| dc.contributor.author | Hofer, Tim | |
| dc.contributor.author | Karimi, David | |
| dc.contributor.author | Bühler, Ulrich | |
| dc.contributor.editor | Müller, Paul | |
| dc.contributor.editor | Neumair, Bernhard | |
| dc.contributor.editor | Raiser, Helmut | |
| dc.contributor.editor | Dreo Rodosek, Gabi | |
| dc.date.accessioned | 2017-06-20T11:04:52Z | |
| dc.date.available | 2017-06-20T11:04:52Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | As the current cyber threat landscape is becorning more depressing, sophisticated intrusion detection systems must evolve to protect network infrastructures efficiently. Building such a detector is highly data-driven and requires quality datasets to evaluate different phases in both the development and deployment process. However, finding publicly available captures with a ground truth is challenging. Most existing datasets focus on very specific subjects such as botnet, flooding, or brute-force traffic rather than providing a broad arsenal of different attack vectors threatening today's networks. This work addresses this gap by introducing a new attack composition comprising a multitude of classic as well as state-of-the-art attacks. The dataset embrace rich and untreated packet traces including payload, collected log events, and a detailed ground truth. lntitial results reveal the proposed captures complement existing traces and provide a sound base for various rnining applications in the field of network security research. | |
| dc.identifier.isbn | 978-3-88579-665-7 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | 10. DFN-Forum Kommunikationstechnologien | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-271 | |
| dc.subject | Attack dataset | |
| dc.subject | data sharing | |
| dc.subject | ground truth | |
| dc.subject | intrusion detection | |
| dc.subject | network security | |
| dc.title | A new Attack Composition for Network Security | |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 20 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 11 | |
| gi.conference.date | 30.-31. Mai 2017 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Sicherheit |
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