Semester:WS 23/24
Art:Modul
ECTS-Credits:3.0
Plansemester:3
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h
Art:Modul
ECTS-Credits:3.0
Plansemester:3
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h
Modulleitung/Dozierende
- Prof. Dr. Pavel Laskov
(Modulleitung)
Studiengang
Masterstudium Wirtschaftsinformatik (01.09.2019)Lehrveranstaltungen
Beschreibung
The course Intrusion Detection and Mitigation covers the essential techniques for detection and mitigation of attacks against information systems. The course covers twelve primary topics:
- Taxonomy of Intrusion-detection methods
- Implementation of intrusion detection systems
- Malware functionality and operation
- Static and dynamic malware analysis
- Malware detection and classification
- Security incident response
Lernergebnisse
After successful completion of the course, students will:
- understand the key techniques deployed in complex attacks against information systems
- understand the methods used in detection of various kinds of attacks
- know the main types of modern malware
- understand the methods used for malware analysis
- be able to apply detection methods on exemplary attack data
- be able to analyse exemplary malware data
Kompetenzen
Lehrmethoden
- The module involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
- The e-learning platform Moodle is used throughout the course to disseminate course material and for information and discussion.
- Homework and programming assignments are used to support the acquisition of practical skills.
Voraussetzungen (inhaltlich)
- Successful completion of the Data and Application Security course. Exceptions are possible only after consultation with the lecturer and the study program management.
Literatur
Technical documentation of the attacks and detection methods presented is provided.
Prüfungsmodalitäten
Written exam (60min)