Enhancing Cloud Security using Novel Framework for Real Time Threat Intelligence and Response Adaptive through Artificial Neural Networks

Key Points

• The study aims to improve cloud security by implementing a novel framework for real-time threat intelligence response using artificial neural networks.
• Developed a framework that integrates artificial neural networks for analyzing threats in real-time.
• Applied the framework to existing cloud systems to test its effectiveness in detecting and responding to threats.
• Achieved a 30% improvement in threat detection speed compared to traditional methods.
• Increased incident response rates by 50% with the adaptive response mechanism.