Protecting and Mitigating Against Cyber Threats

15Detecting Low-Rate DDoS Attacks for CS

P. Venkata Kishore^1*, B. Sivaneasan², Amjan Shaik³ and Prasun Chakrabarti⁴

¹CSE Dept., Singapore Institute of Technology, Punggol Coast Road, Singapore, Singapore

²CSE Dept., Engineering Cluster, Singapore Institute of Technology, Singapore, Singapore

³CSE & Dean R&D, St. Peters Engineering College, Maisammaguda, TS, India

⁴Department of CSE, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Abstract

This paper identifies the distributed denial-of-service attacks by using deep learning based technic of cutting edge technologies to maintain internet stability. These attacks were created massive traffic in internet, due to these attacks overloaded systems been occurred which will give the denying service to legitimate users. Our model has been given the solution for preventing traffic in internet by using new technology. This model helps you to detect the anomalies in internet traffic. In this approach initially by giving training to the model for finding normal traffic patterns through a compact representation of input data. A stochastic threshold method is being implemented for detecting accurate attack. In order to achieve good efficiency in this model by using Fast-AI and other advanced deep learning technologies are implemented. In this method comparison is been taken place between AI models predictions with actual results by introducing learning styles and established assessment tools. In this model predicting and learning ...