Abstract: Nowadays, cloud computing is rapidly growing across the IT industry, government sector, and various other domains. Security remains one of the biggest challenges in the cloud. Among the most critical threats is the Distributed Denial of Service (DDoS) attack, which can disrupt secure data communication, generate excessive network traffic, and increase response times. A DDoS attack works by sending a massive number of false or malicious requests to a cloud server, resulting in heavy network congestion. This survey paper examines a range of robust security measures, including hybrid cryptography techniques and machine learning algorithms, aimed at addressing security issues and achieving end-to-end protection in hybrid cloud environments. It also highlights key security challenges and outlines future research directions for mitigating DDoS attacks. The goal is to provide a clear understanding of recent mechanisms and advancements in cybersecurity, serving as a valuable reference for both practitioners and researchers.

Keywords: Intrusion Detection System, Enhanced Cryptography Techniques, Deep Learning Model, Fuzzy Logic, Clustering Techniques

Download: | DOI: 10.17148/IMRJR.2025.021006