Cloud Based DDOS Attack Detection in a Distributed and Collaborative Manner Using Deep Neural Networks

Aditya Kumar Shukla; Ashish Sharma; Sandeep Singh Sengar

Author(s)

Aditya Kumar Shukla Department of Computer Engineering and Applications, GLA University, NH#2, Delhi Mathura Highway, Post Ajhai, Mathura (UP) India.

Ashish Sharma Department of Computer Engineering and Applications, GLA University, NH#2, Delhi Mathura Highway, Post Ajhai, Mathura (UP) India.

Sandeep Singh Sengar Department of Computer Science; Cardiff School of Technologies, Cardiff Metropolitan University,,UK

Abstract

Attacks known as DDOS (Distributed Denial of Service) are now a significant threat to the Internet's availability. Traditional methods of detecting DDOS attacks are limited in their effectiveness due to the heterogeneous nature of cloud data and application deployment. In today's time, applications are deployed in different containers and nodes over the cloud, and application solutions are deployed in different regions even if they are not fixed with a single cloud service provider. The biggest challenge is data privacy preservation while fighting DDOS attacks while applications are deployed in a distributed manner over the cloud. This study suggests a combination of deep neural networks and federated learning strategies in order to identify distributed denial of service (DDOS) attacks in an environment of heterogeneous cloud service providers. This strategy leverages locally trained models to detect anomalies across different cloud nodes. The models are trained using features extracted from different cloud service providers' logs and traffic data. This strategy is aimed at providing more secure and robust detection of DDOS attacks compared to traditional methods and preserving cloud data privacy. Utilizing several criteria, including accuracy, exactness, recall, and F1-score, the combination of CNN(convolutional neural network) and the federated learningbased detection model is assessed. The outcome of the experiment shows the efficacy of the suggested method in detecting DDOS attacks with high accuracy. This strategy can be used to detect DDOS attacks in an environment of heterogeneous service providers, providing a more secure and robust detection framework.

Publication Details

Page(s) 13-25

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: S1, Year: 2024

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Keywords

Cloud computing, DDOS Attack Detection, Deep Neural Networks etc, Heterogeneous Cloud Service Providers, Federated Learning Strategy

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