International Journal of Academic and Applied Research (IJAAR)   Year: 2024 | Volume: 8 | Issue: 6 | Page No.: 62-71 Cyber Threat Intelligence: Leveraging Machine Learning for Proactive Defense Download PDF Nazeer Shaik, Dr. P. Chitralingappa, Dr. B. Harichandana. Abstract: This paper presents a review of recent developments in Cyber Threat Intelligence (CTI) systems, emphasizing the integration of machine learning for proactive defense strategies. We explore various aspects of CTI, including anomaly detection, intrusion detection, federated learning, explainable AI, adversarial machine learning, IoT security, cloud security, privacy-preserving techniques, and automated model updating. The review highlights the importance of leveraging machine learning to enhance cybersecurity capabilities and discusses future directions for research and development in this domain.