Intelligent Cybersecurity Applications

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Intelligent Cybersecurity Applications

9 LP

English

#40901 / #2

Seit SS 2019

Fakultät IV

TEL 14

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

Albayrak, Sahin

Bsufka, Karsten

sahin.albayrak@tu-berlin.de

https://www.aot.tu-berlin.de/index.php?id=2892

POS-Nummer PORD-Nummer Modultitel
2347995 39710 Intelligent Cybersecurity Applications

Learning Outcomes

After attending the module students should have acquired the following knowledge and skills: - Applying machine learning or other artificial intelligence approaches to solve cybersecurity problems, e.g. detecting intrusions. - Evaluation of cybersecurity solutions based on cybersecurity data sets. - Present and compare developed approaches to the current state of the art.

Content

- Machine learning libraries and algorithms that can be used for network intrusion detection - Conducting and reporting results of cybersecurity experiments - Network-based attacks on IT-systems

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Intelligent Cybersecurity Applications PJ WS No information 4

Workload and Credit Points

Intelligent Cybersecurity Applications (PJ):

Workload description Multiplier Hours Total
Attendance 15.0 4.0h 60.0h
Pre/post processing 15.0 14.0h 210.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

- Define research goals for the project - Familiarisation with state of the art - Implementation of a prototype and evaluation - Project documentation and progress reports

Requirements for participation and examination

Desirable prerequisites for participation in the courses

Knowledge of Network Security and Artificial Intelligence is recommended.

Mandatory requirements for the module test application

No information

Module completion

Grading:

graded

Type of exam:

Portfolio examination

Language:

German

Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
Group discussion/interview 10 oral 30 minutes
Project Report 40 written 10 - 20 pages
Project Results 50 practical 15 weeks

Grading scale

1.01.31.72.02.32.73.03.33.74.0
95.090.085.080.075.070.065.060.055.050.0

Test description (Module completion)

Project report, written, 40 points Project results (source code & software product), practical, 50 points Group discussion/interview (30 minutes), oral, 10 points

Duration of the Module

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Qispos or examination office and additionally registration on ISIS course page

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  available

Literature

Recommended literature
No recommended literature given.

Module examiner

Prüfungsberechtigte Personen im WS 2019/20: 3

Name
Herr Prof. Dr.-Ing Sahin Albayrak
Herr Dr.-Ing. Karsten Bsufka
Herr Jean-Pierre Seifert

Assigned Degree Programs

Zur Zeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

This module is used in the following Degree Programs (new System):

    Miscellaneous

    No information