DETECTION AND RESOLUTION OF VSI-DDOS ATTACKS FOR CONTAINERIZED CLOUDS

Abstract: Very Short Intermi‹ent Distributed Denial of Service (VSI-DDoS) a‹ttack is a new form of DDoS a‹ttacks with potential to bypass many of the security measures used today and still severely damage the quality of service of web applications in cloud systems. Th‘e att‹acks consists of short bursts of legitimate packets which exploits vulnerabilities in the targeted system. With the growing popularity of using containers instead of Virtual Machines in clouds, this project presents an approach for detecting these a‹ttacks in a container based cloud system. Th‘e approach uses signal processing in the form of Discrete Wavelet Transform (DWT) and recurrent neural networks (RNN) called Long Short Term Memory (LSTM) to detect a‹ttacks. Several experiments have been carried out to evaluate the performance of the proposed approach in a controlled testbed environment and it is shown to perform well with competing approaches.