• Dr. Dinesh D Patil
• Akshata Chaudhari

AI is increasingly being used in cybersecurity to detect and prevent cyberattacks. Postgraduate students can work on projects related to intrusion detection, malware analysis, and threat intelligence. The rapid growth of technology and the increasing complexity of cyber threats have necessitated the integration of Artificial Intelligence (AI) in the field of cybersecurity. This project report explores the significant role of AI in enhancing cybersecurity through the detection and prevention of cyberattacks. Specifically, it focuses on three crucial areas: intrusion detection, malware analysis, and threat intelligence. By leveraging AI techniques such as machine learning, deep learning, and natural language processing, postgraduate students can develop innovative solutions to combat cyber threats effectively. This report provides an overview of the key concepts, methodologies, challenges, and potential future developments in these areas, serving as a comprehensive resource for researchers and students interested in exploring the intersection of cybersecurity and AI.

AI, Cyber Security, Intrusion Detection, Malware Analysis, Threat Intelligence, Machine Learning

"Detection and Prevention of cyberattacks using Cybersecurity: Intrusion detection, malware analysis and threat intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d735-d736, November-2023, Available :http://www.jetir.org/papers/JETIR2311390.pdf

"Detection and Prevention of cyberattacks using Cybersecurity: Intrusion detection, malware analysis and threat intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd735-d736, November-2023, Available at : http://www.jetir.org/papers/JETIR2311390.pdf