460-4054/01 – Computer Viruses and Security of Computer Systems (PVBPS)

The aim of this course is to provide students with a comprehensive understanding of computer viruses and malware in general – including their definition, classification, structure, and methods of propagation within computer systems and networks. The course covers both the historical development of malicious software and its modern forms, such as armored viruses, worms, spyware, cyberweapons, and malware utilizing artificial intelligence. Students will engage in practical analysis of real-world malware samples, construction of illustrative virus prototypes, reverse engineering techniques, visualization of binary code using fractal geometry, and behavioral analysis. Special attention is given to the economics of cybercrime, the role of the dark web, and methods of malware distribution through underground digital infrastructure. The course further develops students' capabilities in detecting and responding to contemporary threats using machine learning and AI-based tools. Upon successful completion, students will gain knowledge of technologies used in malware creation, dissemination, and analysis. They will understand its application in espionage and critical infrastructure attacks and will be capable of designing and implementing effective countermeasures to enhance the security of computer systems and networks, including backup strategies and forensic techniques.

After completing this course, the student will be able to: Explain the principles of malicious code operation, its historical evolution, and current trends. Identify and classify various types of malware (including viruses, worms, trojans, spyware, ransomware, and armored code). Describe and analyze how malware spreads within computer systems and networks. Work with real malware samples in a controlled environment and understand their structure and behavior. Design and implement illustrative malware prototypes for educational purposes, including hybrid variants using artificial intelligence. Apply fundamental techniques of reverse engineering and behavioral analysis of malicious software. Use visualization techniques (e.g., fractal geometry) for the analysis of binary code. Understand the role of the dark web in the distribution and monetization of malware. Identify security risks and propose appropriate countermeasures to enhance the security of computer systems. Independently complete, present, and defend assignments based on the lecture topics.

7. Kevin Beaver, Hacking For Dummies, For Dummies; 3 edition, ISBN-10: 9780470550939

Kontrola je založena na vypracovávání protokolů předmětu, pomocí kterých student prokazuje nejen pochopení informací z přednášek, ale i schopnost jejich implementace v daném programovém prostředí. K získání zápočtu je nutno odevzdat cvičícímu všechny požadované protokoly a mít alespoň 80% fyzické účasti na laboratořích. Zápočet je podmínkou NUTNOU k připuštění ke zkoušce. U studentů kombinovaného studia jsou laboratoře nahrazeny vypracováním zadaných protokolů.