CSF 536 - Advanced Intrusion Detection and Defense

Course Description

This online course provides an overview of advanced techniques used in intrusion detection and network defense and allows students to investigate state-of-the-art research in the field. It combines graduate seminar-style elements with applications elements to allow students to apply techniques found in current research. Relevant topics may include network traffic analysis, intrusion analysis, machine learning techniques for intrusion detection, data mining for intrusion detection, advanced persistent threats (APTs), etc.

Prerequisite

CSF 432: Introduction to Network and Systems Security (Fall; 4 credits)

Course Format

This course is composed of weekly modules that include an assigned reading, an online video lecture, a quiz, and a hands on assignment. Typically, new material for the week is released on Friday and due the following Friday. Students will have access to all of the necessary material through an online classroom that is maintained by the University. Part of this online classroom is a discussion board that allows students to anonymously communicate with each other and the instructor. Students taking this course will also have to complete a research project that is based on a current topic in the field.

Course Topics

  • Fundamentals of Network Security
  • Overview of Network Security Monitoring
  • IDS Deployment
  • Intrusion Detection Tools
  • Intrusion Analysis
  • Firewall Fundamentals
  • Firewall Deployment and Management

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