Analyzing the System Behaviours

I am happy to announced that one my research articles "Anomaly Detection Techniques Based on Kappa-Pruned Ensembles" has been published in the renowned journal of IEEE Transactions on Reliability.

We proposed an ensemble based machine learning approach that insures the diversities among the fused ensemble classifiers. The approach is tested on two case studies:

(1) We collect and analyze a massive amount of system call traces from the linux based server machines for detecting the anomalous behaviours at the host-level

(2) We also collecting a massive amount of system call traces from the Windows based server machines for detecting the anomalous behaviours at the host-level

The proposed approach significantly reduces the false alarm rates with a higher accuracy

Article is available at: http://ieeexplore.ieee.org/document/8275028