📔 Overview

• Instructor: Hoa T. Nguyen (MSc)
  • Email: [email protected] (Please put “NT204.classcode” prefix in subject line, E.g. NT204.L21.ANTN)
  • Office hours: Room E8.6, Friday 9 am to 11 am. Please email me in advance if you plan to come to office hours

<aside> ⚠️ ATTENTION: Don’t share any materials (slides, readings, assignments, labs,…) out of our class without my permission! For Internal Circulation Only

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Prerequisites:

You should know:

• Basics of how computer networks work (IT005).
• Basics of network attacks and defenses (NT101)
• Basic research skills (reading, analysis, implement)

<aside> 💡 Good if you have experience with Machine Learning / Deep Learning

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Course page

https://courses.uit.edu.vn (announcements, slides, and readings - links to this page, homework assignments, labs)

Learning outcomes

Upon successful completion, students will be able to:

• Gain an understanding of basic issues, concepts, taxonomy, principles, and techniques in the Intrusion Detection and Prevention System (IDPS).
• Understand when, where, how, and why to apply IDPS tools and techniques in order to improve network security.
• Learn new approaches (machine learning/deep learning) for IDPS and how to align new security technologies to existing network infrastructure.
• Be able to set up, evaluate, tune an IDPS for particular security requirements

📕 Readings and references

• No textbook! no existing textbook on IDPS is appropriate (good enough)
• The course is based on recent research papers in academic conferences and journals; IDPS tools guideline and document