Moses - Intelligent Cybersecurity Applications

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2019 - SoSe 2022. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40901 / #2

Validity:
SS 2019 - SoSe 2022

Default display language:
English

Module title:
Intelligent Cybersecurity Applications

Credits:
9

Responsible person:
Albayrak, Sahin

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Wirtschaftsinformatik und Quantitative Methoden

Area of expertise:
34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 14

Contact person:
Bsufka, Karsten

E-mail address:
dai-labor-lehre@lists.tu-berlin.de

Website:

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

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	VZ
Intelligent Cybersecurity Applications	PJ		WiSe	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:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

German

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

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

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

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

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 literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information

Intelligent Cybersecurity Applications