The rising frequency and sophistication of Distributed Denial of Service (DDoS) attacks pose a substantial threat to service availability in the dynamic landscape of cloud computing. This study presents a complete defense strategy for dealing with the multifaceted issues offered by DDoS attacks in cloud environments. The study analyses and evaluates several tactics, such as source checking, multi-stage attack detection, and a novel text-based Turing test, to improve cloud service security. The study examines previous research on DDoS attacks in the context of cloud computing, examining various strategies and protection methods. In the literature, notable contributions include insights into low-rate DDoS attacks, extensive research on various types of DDoS attacks, and surveys on mitigation solutions based on machine learning, deep learning, and software-defined networking. The technique section discusses DDoS assaults, their functioning mechanisms, types, and their specific concerns in cloud computing systems. The suggested approach employs a hybrid cloud architecture with modules for source verification, attack detection, and a text-based Turing test. The system seeks to counter DDoS attacks efficiently while minimizing performance overhead.