Applied Electromagnetism
| Numbering Code |
U-ENG25 35013 LJ52 U-ENG25 35013 LJ77 |
Year/Term | 2022 ・ First semester |
|---|---|---|---|
| Number of Credits | 2 | Course Type | Lecture |
| Target Year | Target Student | ||
| Language | Japanese | Day/Period | Tue.1 |
| Instructor name | SAITOU MANABU (Graduate School of Engineering Professor) | ||
| Schedule and Contents |
Guidance,2times,Guidance on how this class is operated, and how to use computing facility for this class. Basic knowledge on the role of IDS in network security and how machine learning can help the intrusion detection. Intrusion Detection by Signature-Based IDS,5times,Learn the mechanism of intrusion detection by signature-based IDS by studying open source signature-based IDS and attacks, such as correspondence between alarms issued from IDS and communications, and adding signatures to detect attacks. Intrusion Detection by Machine Learning,7times,Learn the method of classifying normal and malicious traffic by machine learning algorithms and public dataset for benchmarking intrusion detection performance. Presentation,1time,Based on the exercise, students presents their methods of intrusion detection using machine learning, and discuss it with other students and instructors. |
||
| Course Requirements | None | ||
| Related URL | |||
