An Deep Learning Approach Towards Effective Detection And Prevention Of DDos Attack In Cloud Computing

Key Points

• The aim is to develop a deep learning method to enhance the detection and prevention of DDoS attacks in cloud computing environments.
• Utilized deep learning algorithms for data analysis
• Analyzed network traffic patterns
• Implemented real-time detection mechanisms
• Tested the approach in simulated cloud environments
• Achieved a significant reduction in response time to attacks
• Improved detection accuracy compared to traditional methods
• Demonstrated an increase in overall network security during simulated attacks