DFN-Forum Kommunikationstechnologien

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Konferenzbeitrag
A new Attack Composition for Network Security
(10. DFN-Forum Kommunikationstechnologien, 2017) Beer, Frank; Hofer, Tim; Karimi, David; Bühler, Ulrich
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.