Cyber-attacks are becoming more complex and more challenging to detect. Machine learning has the potential to transform how we defend against cyber threats. For example, Machine learning can help spot unusual behavior, analyze patterns, and predict attacks in advance. By implementing machine learning in cybersecurity, we can enhance the security of digital systems, making our defenses smarter, faster, and more adaptable. This ultimately leads to better protection of personal and organizational data in today's connected world.

DR. Munther Abualkibash is an associate Professor at the School of Information Security and Applied Computing, Eastern Michigan University since Sep. 2021.

He received his Ph.D. in Computer Science and Engineering from the University of Bridgeport in 2015. His research interests cover Machine Learning and Data Analytics in Cybersecurity and Computer and Network Security.