AI and Security (CE-DAS)

Module Coordinator/Lecturers

Study Programmes

Master's degree programme in Information Systems

Course

Project Description

AI techniques play an increasingly important role for modern security mechanisms. They are crucial for timely detection of attacks, discovery and analysis of security vulnerabilities, analysis of malicious software. On the other hand, AI methods themselves can be victims of data manipulation and poisoning, or be used by attackers for malicious purposes. AI and Security provides on overview of selected applications of AI techniques in security and reveals the fundamental mechanisms required for assessment of security of AI. Specific topics covered by the course include but are not limited to the following:

AI methods for intrusion detection
Malware analysis by means of AI methods
AI methods for network security
Data manipulation attacks against AI methods
Security of AI in practical context
Offensive AI

Learning Results

Learning Outcomes

After successful completion of the course, students will

Professional competence

understand main use cases for deploying AI in security context
understand security threats to AI systems
understand main use cases for AI abuse in security context

Methodological competence

use state-of-the-art intrusion detection technologies
understand the main design principles of AI driven security tools

Social competence

be able to organise learning materials and can solve problems independently
understand how certain security mechanisms can be broken
develop a “security mindset”

Personal competence

address new challenges and independent finding of viable solutions
think “out of the box” and can apply knowledge in unusual contexts

Technological competence

be familiar with intermediate-level security monitoring tools

Assessment Methods

Written exam

Module number:

6212039

Semester:

WS 26/27

ECTS Credits:

Courses:

28 L / 21 h

Self-study:

69 h

Scheduled Semester: