Exercise of Machine Design 1

Numbering Code U-ENG25 35059 SJ71 Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Seminar
Target Year Target Student
Language Japanese Day/Period Wed.4・5・Fri.4・5
Instructor name NISHIWAKI SHINJI (Graduate School of Engineering Professor)
MATSUMOTO MITSUHIRO (Graduate School of Engineering Associate Professor)
NAKAJIMA KAORU (Graduate School of Engineering Associate Professor)
SHIKAMA TAIICHI (Graduate School of Engineering Associate Professor)
TATSUMI KAZUYA (Graduate School of Engineering Associate Professor)
NAKANISHI HIROAKI (Graduate School of Engineering Senior Lecturer)
HIROTANI JUN (Graduate School of Engineering Associate 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
Courses delivered by Instructors with Practical Work Experience 分類:

A course with practical content delivered by instructors with practical work experience
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