Course Outcome:
| CO1 | Gain insights into the fundamental concepts and components of Cyber Security and Network systems. |
| CO2 | Examine core security primitives specific to cyber-physical systems and apply them to address current and emerging security challenges. |
| CO3 | Design, simulate and solve smart grid cyber security issues |
Course Articulation Matrix: Correlation level [ 1: low, 2: medium, 3: High]
| ?PO | PO1 | PO2 | PO3 | PSO1 | PSO2 |
| CO | |||||
| CO1 | 3? | 2? | 1? | 1? | 1? |
| CO2 | 2? | 2? | 2? | 1? | 1? |
| CO3 | 2? | 2? | 2? | 1? | 1? |
Cyber Security: Fundamentals of Cyber Security, Cyber security principles, CIA Triad, Fundamentals of cryptography, Cyber security standards and frameworks, Threat Identification, Intrusion and Attack Detection, Encryption and Decryptions, Common types of Cyber-attacks; Malware attacks, Phishing, Brute forcing, Basics of Ethical Hacking?.Network Systems: Network systems, Basics of Networking; Switches, Routers, Modems and wireless access points, Network connectivity, Internet Protocols, VPN, DNS, IP addresses Operating systems, Wireless Networking, Network and Data security, Co-simulation
Smart Grid Cyber security: Smart grid cyber-physical systems, smart grid interoperability standards, Smart grid cyber networked standards, new Intelligent Electronic Devices (IED), Role of IoT and ML in Smart Grid Cyber Security , Federated learning in smart grid cyber resilience, , Smart grid cyber security issues, and challenges, Cyber-attacks in smart grids, Manmade and natural large scale disturbances; FDIA, Relay Attacks, Replay Attacks, Anomaly detection, and Rare event classification, Cyber resilience, FDIR, security solutions for smart grid, Risk and vulnerability assessment in smart grids. Attack probability analysis in smart grids, real-time network monitoring Cyber security in Electric Vehicles. Case study:, simulation experiments