113 – Artificial intelligence for cybersecurity
Mohammad Fardad; Irina Tal; Petro Venherskyi; Roman Karpiuk
Annotation

The course studies the following topics: Definition of Artificial Intelligence and Machine Learning. The Role of AI in Cyber Security. AI Techniques Used in Cyber Security. The Application of AI in Cyber Attacks (Attack Preparation; Attack Execution; Post-Attack Activities). The Application of AI in Cyber Defense (Attack Detection; Attack Mitigation; Security Operations). The Application of LLMs (Large Language Models) in Cybersecurity. Applications of LLMs in Attacks and Defense; Risks of LLMs and Defense Measures.

Objectives

The purpose of the course is to provide the students with knowledge, skills, and abilities (competencies) relevant to the development and application of artificial intelligence in cyber security tasks. The objectives of the course are defined as follows:

to provide students with fundamental and systematized knowledge about the approaches, models, and methods implemented in the modern framework of the AI branch;

to provide students with an understanding of basic AI-related technologies;

to develop students` analytical abilities to choose AI models and methods for solving cybersecurity-related tasks.

Keywords
Cybersecurity, Artificial intelligence, anomaly detection, machine learning algorithms, hacker attacks, clustering methods, Random Forest, graph analysis, cyber attacks, cybercriminals, phishing attacks, post-attack activities, intrusion detection, network security defense, AISecOps technology, AI-generated content tools.
Date of Creation
02.11.2024
Duration
6-8 hours
Language
English
License
Creative Commons BY-SA 4.0
ISBN
Literature
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