UROP Project
Cyber–Physical Data Generation and Intrusion Detection Testbed for a 39-Bus Power System
Cyberattack Detection, Cyber Layer, Smart Grid, and Machine Learning.
Research Mentor: mahasan@fsu.edu Md. Rakibul Ahasan, Mr.
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: mahasan@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: mahasan@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Electrical and Computer Engineering, Computer Engineering, Computer Science, etc.
Project Location: FAMU-FSU College of Engineering and Center for Advanced Power Systems
Research Assistant Transportation Required: FSU transportation options (e.g., Seminole Express) Remote or In-person: In-person
Approximate Weekly Hours: 8-10, During business hours
Roundtable Times and Zoom Link:
Not participating in the roundtable
Number of Research Assistants: 2
Relevant Majors: Electrical and Computer Engineering, Computer Engineering, Computer Science, etc.
Project Location: FAMU-FSU College of Engineering and Center for Advanced Power Systems
Research Assistant Transportation Required: FSU transportation options (e.g., Seminole Express) Remote or In-person: In-person
Approximate Weekly Hours: 8-10, During business hours
Roundtable Times and Zoom Link:
Not participating in the roundtable
Project Description
This project develops a cyber–physical testbed that integrates a simulated communication network with a real-time power-system model. The cyber layer contains containerized human–machine interface (HMI) and programmable logic controller (PLC) components, while the physical layer consists of the IEEE 39-bus power system implemented in MATLAB/Simulink and executed using real time simulator OPAL-RT.The cyber and physical layers communicate through industrial network protocols so that commands, measurements, and cyberattacks introduced in the communication network influence the physical power-system operation. Network traffic is stored in PCAP format, while electrical measurements are stored in CSV format. The synchronized cyber and physical data are then combined to construct a dataset for visualization, anomaly detection, and machine-learning-based cyberattack identification.
Research Tasks: 1. Docker-based HMI and PLC setup
2. Cyber-network configuration and network traffic collection
3. Basic cyberattack implementation
4. Documentation and literature review
Skills that research assistant(s) may need: Recommended: bash, python, windows power shell and unix system
Required: Team player and eagerness to take challenges