In this paper, we present our analysis using four different systems on two different one-way networktraffic data sets. Specifically, we have explored the usage of two network traffic analyzers, namely Corsaro and Cisco ASA 5515-X, and two machine learning based systems, namely the C4.5 Decision Tree classifier and the AdaBoost.M1 classifier. We have employed these four systems on two publicly available one-way network data sets provided by CAIDA from 2008 and 2012.
Our analysis on these systems are based on the detection rate, false alarm rate, computational cost and ease of use of these systems. To the best of our knowledge, this work is the first one performing such an analysis and evaluating machine learning based systems against well known commercial as well as open source ones on one-way network traffic data sets.