A Flow-Level Taxonomy and Prevalence of Brute Force Attacks

Authors

VYKOPAL Jan

Year of publication 2011
Type Article in Proceedings
Conference Advances in Computing and Communications
MU Faculty or unit

Institute of Computer Science

Citation
Web http://dx.doi.org/10.1007/978-3-642-22714-1_69
Doi http://dx.doi.org/10.1007/978-3-642-22714-1_69
Field Informatics
Keywords netflow; taxonomy; prevalence; brute force attack; SSH
Description Online brute force and dictionary attacks against network services and web applications are ubiquitous. We present their taxonomy from the perspective of network flows. This contributes to clear evaluation of detection methods and provides better understanding of the brute force attacks within the research community. Next, we utilize the formal definitions of attacks in a long-term analysis of SSH traffic from 10 gigabit university network. The results shows that flow-based intrusion detection may profit from traffic observation of the whole network, particularly it can allow more accurate detection of the majority of brute-force attacks in high-speed networks.
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