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  • P271 - 10. DFN-Forum Kommunikationstechnologien
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A new Attack Composition for Network Security

Author:
Beer, Frank [DBLP] ;
Hofer, Tim [DBLP] ;
Karimi, David [DBLP] ;
Bühler, Ulrich [DBLP]
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.
  • Citation
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Beer, F., Hofer, T., Karimi, D. & Bühler, U., (2017). A new Attack Composition for Network Security. In: Müller, P., Neumair, B., Raiser, H. & Dreo Rodosek, G. (Hrsg.), 10. DFN-Forum Kommunikationstechnologien. Bonn: Gesellschaft für Informatik e.V.. (S. 11-20).
@inproceedings{mci/Beer2017,
author = {Beer, Frank AND Hofer, Tim AND Karimi, David AND Bühler, Ulrich},
title = {A new Attack Composition for Network Security},
booktitle = {10. DFN-Forum Kommunikationstechnologien},
year = {2017},
editor = {Müller, Paul AND Neumair, Bernhard AND Raiser, Helmut AND Dreo Rodosek, Gabi} ,
pages = { 11-20 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-665-7
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Attack dataset
  • data sharing
  • ground truth
  • intrusion detection
  • network security
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  • P271 - 10. DFN-Forum Kommunikationstechnologien [14]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.