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Primary Areas: Grid Cyber Security, Deep Learning, Game Theory Secondary Areas: Adversarial Attacks, Digital Forensics

IEEE Task Force Reports

1. IEEE Technical report: Cyber-Physical Interdependence for Power System Operation and Control, 2023. Link

Journal/Magazine Articles

1. S. Rath, N. K. Kundu, and S. Sahoo, "Dynamic Quantum Key Distribution for Microgrids with Distributed Error Correction", IET Quantum Communications, Aug. 2025. (To appear soon)

2. Z. Zhang, S. Rath, J. Xu, and T. Xiao, “Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities”, ACM Transactions on Cyber-Physical Systems, 2025. Link

3. T. Das, R. Shukla, S. Rath, and S. Sengupta, "Bringing To Light: Adversarial Poisoning Detection in Multi-controller Software-defined Networks", IEEE Transactions on Network Science and Engineering, Dec. 2024. Link

4. T. Das, S. Rath, and S. Sengupta, “GAP: Cyber Attack Progression Framework for Smart Grid Infrastructures”, IEEE Internet of Things Journal, Oct. 2024. (Early Access) Link

5. A. Mallick, J. K. Pradhan, R. Pradhan, S. Rath, and A. Guha, “A Gain Scheduling Control Framework for Mitigation of Time Varying Network Latency in Autonomous AC Microgrids”, IEEE Transactions on Industrial Informatics, Sept. 2024. (Early Access) Link

6. S. Rath, T. Das, and S. Sengupta, "Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games", IEEE Transactions on Smart Grid, March 2024. (Early Access) Link

7. S. Rath, L. D. Nguyen, S. Sahoo, and P. Popovski, "Self-Healing Secure Blockchain Framework in Microgrids", IEEE Transactions on Smart Grid, March 2023. (Early Access) Link

8. A. Takiddin, S. Rath, M. Ismail, and S. Sahoo, “Detection of Anomalous Data in DC Microgrids Using LSTM Stacked Autoencoders”, IEEE Systems Journal, vol. 16, no. 4, pp. 6097-6106, Dec. 2022. Link

9. S. Rath and S. Sahoo, “An overview of physics-informed cyber security tools for power electronic systems”, IEEE Technical Committee on Cyber-Physical Systems Newsletter, vol. 6, no. 1, pp. 7-11, March 2021. (Invited Paper) Link

10. S. Rath, D. Pal, P. S. Sharma, and B. K. Panigrahi, “A cyber-secure distributed control architecture for autonomous AC microgrid”, IEEE Systems Journal, vol. 15, no. 3, pp. 3324-3335, Sept. 2021. Link

Conferences

1. I. Astaburuaga, S. Rath, and S. Sengupta “Unveiling BB84 Vulnerabilities: A Quantum Key Distribution Simulation Library”, IEEE Consumer Communications & Networking Conference (CCNC) (2025).

2. S. Rath and S. Sahoo, “Supervised Deep Learning-Based Graph Topology Switching for Cyber-Resilient Secondary Control in Distributed Microgrids” IEEE Design Methodologies for Power Electronics Conference (2024).

3. V. K. Singh, E. Tucker, and S. Rath, "Federated Machine Learning-Based Anomaly Detection System for Synchrophasor Network Using Heterogeneous Data Sets", IEEE PES T&D Conference & Exposition (2024).

4. T. Das, S. Rath, and S. Sengupta, “Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids”, IEEE International Conference on Industrial Cyber-Physical Systems (2024). Link

5. S. Rath, and S. Sengupta, “Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games”, Center of Academic Excellence in Cybersecurity Community Annual Symposium (2024).

6. A. Meepaganithage, S. Rath, M. Nicolescu, M. Nicolescu, and S. Sengupta, “Image Forgery Detection Using Convolutional Neural Networks”, IEEE International Symposium on Digital Forensics and Security (ISDFS '24).

7. M. Jahanzeb, S. Rath, and M. H. Zaib, “Enhanced Privacy in Optical Image Restoration: A Federated Deep Memory-Integrated Neural Network Approach”, IEEE International Symposium on Digital Forensics and Security (ISDFS '24). Link

8. S. Bandal, and S. Rath, “Unveiling Digital Secrets: An Image Text Vision App for Enhanced Digital Forensics Investigations”, IEEE International Symposium on Digital Forensics and Security (ISDFS '24). Link

9. A. Meepaganithage, S. Rath, M. Nicolescu, M. Nicolescu, and S. Sengupta "Feature Selection Using the Advanced Shapley Value", IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC '24). Link

10. S. Rath, S. Sahoo, and S. Sengupta, "Digital Twins for Moving Target Defense Validation in AC Microgrids", IEEE Energy Conversion Congress and Expo (ECCE '23). Link

11. S. Rath, A. Intriago, S. Sengupta, and C. Konstantinou, "Lost at Sea: Assessment and Evaluation of Rootkit Attacks on Shipboard Microgrids", IEEE Electric Ship Technologies Symposium (ESTS '23). Link

12. S. Rath, T. Das, I. Astaburuaga, and S. Sengupta, "Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments", IEEE International Symposium on Digital Forensics and Security (ISDFS '23). Link

13. S. Rath, I. Zografopoulos, P. P. Vergara, V. Nikolaidis, and C. Konstantinou, “Behind closed doors: process-level rootkit attacks in cyber-physical microgrids”, IEEE Power and Energy Society General Meeting (PESGM ‘22). Link

14. S. Rath, I. Zografopoulos, and C. Konstantinou, “Poster: Stealthy Rootkit Attacks on Cyber-Physical Microgrids”, In Proc. The Twelfth ACM International Conference on Future Energy Systems (e-Energy ’21), June 28-July 2, 2021, Virtual Event, Italy. ACM, New York, NY, USA. Link

Book Chapter

1. S. Rath, C. Konstantinou, B. Papari, C. S. Edrington, P. Ge, and F. Teng, “Microgrids in mission-critical applications”, Institution of Engineering and Technology (IET). Link

News Articles

1. S. Sengupta, P. Fajri, T. Das, and S. Rath, "Can electric vehicles be hacked?", Nevada Today, April 21, 2023. Link