CYS 360: NLP IN PHISHING& DISINFORMA DEFENSE

Credits 3
Division
UG
School Division
School of Humanities, Sciences and Technology
This course explores natural language processing techniques for defending against phishing, social engineering, and disinformation campaigns. Students analyze malicious email text, message metadata, and narrative patterns; build models for classification and triage; and evaluate how language-based indicators can support detection and response. The course emphasizes explainability, adversarial text manipulation, and the limits of automated decision-making in high-consequence environments. prerequisite: CYS 220 and an introductory programming course, or instructor approval.