Detection of Brute-Force Password Attack in Network Traffic

This bachelor's thesis is aimed at monitoring of computer networks using IP flows. It describes NEMEA framework which is used for creating modules. These modules are able to detect network anomalies and attacks. Next part describes a few methods how SSH, RDP and Telnet protocols could be attacked. Following chapters analyze some types of attacks such as Dictionary or Brute-Force attack and tries to find their common characteristics. Based on this analysis, signature of attack is created. Proposed detection algorithm uses these signatures for computing detection thresholds which are used in histogram analysis. Finally, results of proposed detection algorithm are compared with the results from other known methods