Cloud and SDN/NFV-Based Network Security

Description

This course focuses on the security principles, architectures, technologies, and emerging threats associated with cloud computing, virtualization, Software-Defined Networking (SDN), and Network Functions Virtualization (NFV). It examines cloud security models, the shared responsibility model, hypervisor vulnerabilities, multi-tenancy risks, and resource isolation mechanisms. The course also explores SDN architecture, control and data plane security, controller vulnerabilities, API protection, and secure communication channels. Particular attention is given to NFV security risks, Service Function Chaining (SFC), 5G/6G network slicing, Zero Trust architecture, and microsegmentation. Students investigate modern cybersecurity threats and defensive strategies, including AI- and machine learning-based anomaly detection and intrusion prevention mechanisms. Through research activities, case studies, and project-based assignments, students develop the skills to analyze security vulnerabilities, evaluate cloud and software-defined network infrastructures, apply appropriate protection mechanisms, and design and present effective security solutions for dynamic, virtualized, and distributed network environments.

Course learning outcomes

1. 1

   CLO 1: Explain the fundamental concepts, principles, and stages of cloud computing.

2. 2

   CLO 2: Apply data collection, implementation, and analytical methods appropriate to a research problem.

3. 3

   CLO 3: Analyze collected data using analytical methods and identify relationships between relevant principles.

4. 4

   CLO 4: Interpret research findings and analyze the advantages and disadvantages of cloud technologies.

5. 5

   CLO 5: Develop and present an individual or team-based project addressing an identified research problem.