Detection of DDoS Attack using Traffic Analysis

DDoS attack is one of the biggest threads we are facing in today’s networking world. DDoS attacks generating mass traffic deplete network bandwidth and/or system resources. Conventional solutions identify network traffic attack activities from legitimate network traffic based on statistical divergence. In this paper, we present deep learning based solution for predicting the DDoS attack. We design a RNN (Recurrent Neural Network) to learn network patterns from network traffic and use this learning to detect the attack.

Author(s): Akarsh J

Abstract | Full-Text | PDF

Share This Article