Data Analytics in Cybersecurity

Catalog description

Cyber threats are a major problem for organizations and being able to detect these threats is of primary importance. This course is an introduction to data analytics for cybersecurity. The course will introduce types of cyber-attacks, anomalies and their relationship to cyber threats, data analytics needed for cyber security data, methods for discovering anomalies, tools for data analytics malicious activities detection, and hands on exercises to uncover common and not-so-common challenges faced by cybersecurity researchers. Python will be utilized in this course. Prerequisite(s): AIST6900 >= C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Program Restrictions: 1DPHIL-CSCS-Computer & Cyber Sciences Schedule Type (Primary): Lecture Click here for the Schedule of Classes.