CYB 540 - Algorithmic Machine Learning for Cybersecurity

CSC 535, CYB 501. (4)

Investigation of data science approaches such as intrusion detection, malware classification, and network analysis used to mitigate cybersecurity problems. Exploration of supervised and unsupervised machine learning techniques aimed toward maintainable, reliable and scalable data mining systems in the security space. Introduction to adversarial machine learning through real world problems and datasets. Not open to students with credit for CYB 440. Graded ABCDE