2024-2025 Undergraduate Bulletin [ARCHIVED CATALOG]
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CSC 428 - Machine Learning in Cybersecurity3 hrs.
Prerequisite(s): CSC 102 . Machine learning techniques including hidden Markov models (HMM), profile hidden Markov models (PHMM), principal component analysis (PCA), support vector machines (SVM), clustering, data analysis, back propagation, and selected topics in neural networks. Illustrative applications of each of these major topics are provided, with most of the applications drawn from the field of cybersecurity including a variety of topics related to malware, intrusion detection (IDS), spam, and cryptanalysis, among others. Overview of k-nearest neighbor, boosting/AdaBoost, random forests, linear discriminant analysis (LDA), naive Bayes.
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