Predictive optimization of DDoS attack mitigation in distributed systems using machine learning

作者：Baoming Wang, Yuhang He, Zuwei Shui, Xin Qi, Han Lei · 发表于：Applied and Computational Engineering · 年份：2024 · DOI：10.54254/2755-2721/64/20241350 · 被引用次数：23 · 研究领域：Fire Detection and Safety Systems、Advanced SAR Imaging Techniques、Network Security and Intrusion Detection

In recent years, cloud computing has been widely used. This paper proposes an innovative approach to solve complex problems in cloud computing resource scheduling and management using machine learning optimization techniques. Through in-depth study of challenges such as low resource utilization and unbalanced load in the cloud environment, this study proposes a comprehensive solution, including optimization methods such as deep learning and genetic algorithm, to improve system performance and efficiency, and thus bring new breakthroughs and progress in the field of cloud computing resource management.Rational allocation of resources plays a crucial role in cloud computing. In the resource allocation of cloud computing, the cloud computing center has limited cloud resources, and users arrive in sequence. Each user requests the cloud computing center to use a certain number of cloud resources at a specific time.