Strategies for Monitoring the Cloud for Distributed Denial of Service Attacks


  • Vimalkumar Rathod, Anil Prajapati, Rinkalben Prajapati, Mayureeben Rathva


Distributed Denial of Service, Improved-Kernal, Anomaly Detection, Cloud computing, Blockchain, Software Define Network


Cloud computing services are developing in various industries in recent years due to their availability, reliability, and adaptability. As a result, the majority of organizations are trusting this emerging technology for rapid production jobs. However, the transformation of local level computing to remote level computing will lead to numerous security issues for cloud customers and providers, from data security and availability. However, Denial of Service (DoS) and Distributed Denial of Service attacks (DDoS) are considered significant types of damage to the cloud environment that tremendously cripple cloud services and resources. Hence, this novel research work provides four contributions for maximization of performance and cloud services' availability to legitimate users and guaranteeing a quick and primitive attack identification rate. Initially, it contributes to proposing a novel method with the combination of prominent methodologies such as SHA256 and Improved-Kernal Online Anomaly Detection, which are proposed and make use to generate distinctive entries’ into the cloud environment to categorize the malicious user and regular users


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How to Cite

Vimalkumar Rathod. (2024). Strategies for Monitoring the Cloud for Distributed Denial of Service Attacks. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 3581 –. Retrieved from



Research Article