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.
CYS 360: NLP IN PHISHING& DISINFORMA DEFENSE
Credits
3
Division
UG
School Division
School of Humanities, Sciences and Technology