SDMTA: Attack Detection and Mitigation Mechanism for DDoS Vulnerabilities in Hybrid Cloud Environment

In a distributed cloud context, distributed denial of service (DDoS) attacks are widespread. The services are rendered unavailable to legitimate users as a result of the overwhelming traffic, resulting in financial losses. There are possible obstacles, although several researchers have established various mitigation measures. Initially, Software-defined networking technology was revealed to protect businesses from DDoS attacks. DDoS attacks cause server outages and financial losses due to service unavailability. Meeting of service-level agreement with the customers remains a challenge. In this article, the scattered denial-of-service mitigation tree architecture (SDMTA) is used to propose a novel DDoS mitigation strategy for the hybrid cloud environment. To enable detection procedures, the proposed SDMTA mitigation architecture includes integrated network monitoring. The suggested and existing state-of-the-art models' detection rates over the input dataset were estimated. When compared to the existing state-of-the-art model, the system's accuracy, specificity, and sensitivity were found to be 99.7%, 98.32%, and 99.92%, respectively.