Statistical Based Waveform Classification for Cloud Intrusion Detection

In recent years, many approaches have been proposed for intrusion detection. In this paper, we propose a cloud intrusion detection with a new statistical waveform based classification. It records network connections over a period of time to form a waveform, and then computes the suspicious characteristics of the waveform. It classifies the intrusion with these selected waveform features. In our evaluation, a DARPA Intrusion Detection Data Sets has been used in our evaluation, and the preliminary results confirmed that our approach is feasible.