Detection and Prevention Mechanism for DDoS Attacks in Cloud Computing:The Role of Software-Defined Networking(SDN)

Cloud computing has developed as a vital technology for offering on-demand computing resources that meet the changing requirements of modern applications. The cloud environment, on the other hand, is especially vulnerable to Distributed Denial of Service (DDoS) assaults, which can interrupt services and cause serious financial and reputational harm. The purpose of this research paper is to investigate the detection and prevention techniques for DDoS attacks in a cloud computing environment, with a special emphasis on the function of Software-Defined Networking (SDN).This paper present an overview of cloud infrastructure, its importance in today’s world, and the inherent weaknesses that make it an appealing target for attackers. Furthermore, it cover numerous sorts of DDoS attacks that might jeopardize cloud service availability and performance. The paper also explores the advantages SDN offers to cloud security by utilizing the dynamic and centralized control it provides. Through flow monitoring and analysis, behavioral anomaly detection, and machine learning-based approaches, the potential of SDN to improve the detection of DDoS attacks is explored. The SDN-enabled preventative techniques, such as traffic engineering, rate limitation, access control, and authentication procedures, as well as the significance of service provider cooperation in effectively mitigating DDoS assaults, are also discussed.