AI for Cybersecurity
Semestr: Winter
Range: 2P+2C
Completion:
Credits: 6
Programme type: Master
Study form: Fulltime
Course language: English
Summary:
The goal of the course is to learn about cybersecurity and the importance of using AI in this field to understand how it transforms our perception of security in general.
Keywords:
Course syllabus:
● Introduction to the class, security and networking
● Finding computers, scan and basic network analysis
● Gaining access. From people to computers
● Detecting Intruders to your servers
● Honeypots
● Persistence&Priviledge escalation, Side channel attacks
● Buffer overflow
● Reverse Engineering
● Automating Attacks with Malware
● Manual and machine learning detection of C&C
● Web Attacks
● Mobile Security, NOC
Seminar syllabus:
Literature:
● Artificial Intelligence in Cybersecurity: Revolutionize Cybersecurity with AI, Dr. Anjum Zameer Bhat , Dr. Narayana Swamy Ramaiah, ISBN-13: 979-8322233589, 2024
● The AI Revolution in Networking, Cybersecurity, and Emerging Technologies, Omar Santos, Samer Salam, Hazim Dahir, ISBN-1: 978-0138293697, 2024
● AI & ML in Cybersecurity: Your go to guide to Artificial Intelligence & Machine learning in Cybersecurity, Ms. Malini Rao, ISBN-13: 978-2854456370
Examiners:
- Sebastián García, Ph.D.
- doc. Ing. Tomáš Pevný, Ph.D.
- Ing. Ondřej Lukáš
- Ing. Maria Rigaki
- Ing. Muris Sladić
Lecturers:
- Sebastián García, Ph.D.
- doc. Ing. Tomáš Pevný, Ph.D.
- Ing. Ondřej Lukáš
- Ing. Maria Rigaki
- Ing. Muris Sladić