Explores various types of malware, defenses against them, and real-world examples like Stuxnet worm targeting Iran's nuclear power plants.
Covers the fundamentals of IT security, including complex passwords and malware prevention.
Covers the basics of IT security, emphasizing everyone's responsibility in protecting data and preventing cyber threats.
Delves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Explores network security through NAT, firewalls, and deep packet inspection, emphasizing the importance of robust host-level defenses and the limitations of protection techniques.
