PEER-REVIEWED JOURNAL PAPERS:
PEER-REVIEWED JOURNAL PAPERS:
Z. Ni and S. Paul, "A Multi-Stage Game in Smart Grid Security: A Reinforcement Learning Solution," IEEE Trans. on Neural Networks and Learning Systems (TNNLS). Volume: 30 , Issue: 9, pp.2684 - 2695, Sept. 2019. [Link] (featured on Research Frontier of IEEE CIS Newsletter, Issue 82, November 2019)[Link]
S. Paul, Z. Ni and C. Mu, "A Learning Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). In press. DOI: 10.1109/TNNLS.2019.2955857.
PEER-REVIEWED CONFERENCE PAPERS:
S. Paul, Z. Ni and F. Ding, "An Analysis of Post Attack Impacts and Effects of Learning Parameters on Vulnerability Assessment of Power Grid," 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1-5, doi: 10.1109/ISGT45199.2020.9087639.
S. Paul and F. Ding, "Identification of Worst Impact Zones for Power Grids During Extreme Weather Events Using Q-learning," 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1-5, doi: 10.1109/ISGT45199.2020.9087654.
S. Paul, R. Haq, A. Das, and Z. Ni, "A Comparative Study of Smart Grid Security Based on Unsupervised Learning and Load Ranking," 2019 IEEE International Electro/Information Technology (EIT) Conference, Brookings, SD, pp. 1-6, May 20-22, 2019.
S. Paul and Z. Ni, "Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game," 2019 IEEE International Electro/Information Technology (EIT) Conference, Brookings, SD, pp. 1-6, May 20-22, 2019.
S. Paul, and Z. Ni, "A Strategic Analysis of Attacker-Defender Repeated Game in Smart Grid Security," in Proc. of IEEE PES Innovative Smart Grid Technologies (ISGT'19) Conference, Washington D.C., pp. 1-5, Feb. 17-20, 2019.
S. Paul and Z. Ni, "A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security," in Proc. of IEEE Intl. Joint Conference of Neural Network (IJCNN'18), Rio de Janeiro, Brazil, pp. 1-8, Jul. 8-13, 2018.
Z. Ni, S. Paul, and X. Zhong, "A Reinforcement Learning Approach for Sequential Decision-Making Process in Smart Grid Security," in Proc. of IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'17), Symposium Series on Computational Intelligence (SSCI), pp. 1-8, Honolulu, HI, Nov. 27 - Dec. 1, 2017.
S. Paul and Z. Ni, "Vulnerability Analysis for Simultaneous Attack in Smart Grid Security," in Proc. of IEEE PES Innovative Smart Grid Technologies (ISGT'17) Conference, Washington D.C., pp. 1-5, Apr. 23-26, 2017.