Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
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Juan Ospina | Charalambos Konstantinou | XiaoRui Liu | Xiaorui Liu | Charalambos Konstantinou | Juan Ospina
[1] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[2] Le-Ren Chang-Chien,et al. Dynamic Reserve Allocation for System Contingency by DFIG Wind Farms , 2008, IEEE Transactions on Power Systems.
[3] Karen A. Scarfone,et al. A Complete Guide to the Common Vulnerability Scoring System Version 2.0 | NIST , 2007 .
[4] Charalambos Konstantinou,et al. Defensive Cost-Benefit Analysis of Smart Grid Digital Functionalities , 2020, ArXiv.
[5] Deepak Joshi,et al. Contingency analysis of power system by using voltage and active power performance index , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).
[6] Yiting Zhao,et al. Graph-based Preconditioning Conjugate Gradient Algorithm for "N-1" Contingency Analysis , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).
[7] Saman A. Zonouz,et al. CPIndex: Cyber-Physical Vulnerability Assessment for Power-Grid Infrastructures , 2015, IEEE Transactions on Smart Grid.
[8] Karen A. Scarfone,et al. The Common Misuse Scoring System (CMSS): Metrics for Software Feature Misuse Vulnerabilities , 2012 .
[9] Tao Jiang,et al. Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N–1 Contingencies , 2017, IEEE Transactions on Power Systems.
[10] Reza Ghazi,et al. Power system security assessment with high wind penetration using the farms models based on their correlation , 2017 .
[11] Daniel K. Molzahn,et al. Optimization and Control of Electric Power Systems , 2014 .
[12] Michail Maniatakos,et al. Open Source Intelligence for Energy Sector Cyberattacks , 2019, Advanced Sciences and Technologies for Security Applications.
[13] Katherine R. Davis,et al. A Cyber-Physical Modeling and Assessment Framework for Power Grid Infrastructures , 2015, IEEE Transactions on Smart Grid.
[14] Michail Maniatakos,et al. The Cybersecurity Landscape in Industrial Control Systems , 2016, Proceedings of the IEEE.
[15] Juan Ospina,et al. DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment , 2020 .
[16] Lei Yang,et al. DeepGrid: Robust Deep Reinforcement Learning-based Contingency Management , 2020, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[17] Vijay Janapa Reddi,et al. Deep Reinforcement Learning for Cyber Security , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[18] Michail Maniatakos,et al. Security analysis of smart grid , 2017 .
[19] Renke Huang,et al. Adaptive Power System Emergency Control Using Deep Reinforcement Learning , 2019, IEEE Transactions on Smart Grid.
[20] Osama A. Mohammed,et al. On the adaptive protection of microgrids: A review on how to mitigate cyber attacks and communication failures , 2017, 2017 IEEE Industry Applications Society Annual Meeting.
[21] Michail Maniatakos,et al. Assessment of Low-Budget Targeted Cyberattacks Against Power Systems , 2018, VLSI-SoC.
[22] Antonio J. Conejo,et al. Probabilistic power flow with correlated wind sources , 2010 .
[23] Ross Baldick,et al. Not Everything is Dark and Gloomy: Power Grid Protections Against IoT Demand Attacks , 2019, USENIX Security Symposium.
[24] Michail Maniatakos,et al. Hardware-Layer Intelligence Collection for Smart Grid Embedded Systems , 2019, Journal of Hardware and Systems Security.
[25] Michail Maniatakos,et al. Attacking the smart grid using public information , 2016, 2016 17th Latin-American Test Symposium (LATS).
[26] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[27] Gabor Karsai,et al. Heuristics-based approach for identifying critical N — k contingencies in power systems , 2017, 2017 Resilience Week (RWS).
[28] Christian Rehtanz,et al. Cyber-Physical Energy and Power Systems , 2020 .
[29] Xiaorui Liu,et al. Reinforcement Learning for Cyber-Physical Security Assessment of Power Systems , 2019, 2019 IEEE Milan PowerTech.
[30] Lingfeng Wang,et al. Power System Reliability Evaluation With SCADA Cybersecurity Considerations , 2015, IEEE Transactions on Smart Grid.
[31] Russell Bent,et al. Unit commitment with N-1 Security and wind uncertainty , 2016, 2016 Power Systems Computation Conference (PSCC).
[32] Michail Maniatakos,et al. Low-budget Energy Sector Cyberattacks via Open Source Exploitation , 2018, 2018 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC).
[33] Karen A. Scarfone,et al. The Common Configuration Scoring System (CCSS): Metrics for Software Security Configuration Vulnerabilities , 2010 .
[34] H. Bevrani,et al. Intelligent Power System Frequency Regulations Concerning the Integration of Wind Power Units , 2010 .
[35] Adam Hahn,et al. CyPhyR: a cyber-physical analysis tool for measuring and enabling resiliency in microgrids , 2019, IET Cyper-Phys. Syst.: Theory & Appl..
[36] D. Gritzalis,et al. Critical Infrastructure Security and Resilience , 2019, Advanced Sciences and Technologies for Security Applications.
[37] John Lygeros,et al. A Probabilistic Framework for Reserve Scheduling and ${\rm N}-1$ Security Assessment of Systems With High Wind Power Penetration , 2013, IEEE Transactions on Power Systems.
[38] Konstantin S. Turitsyn,et al. Fast Algorithm for N-2 Contingency Problem , 2013, 2013 46th Hawaii International Conference on System Sciences.
[39] Anastasis Keliris,et al. GE Multilin SR Protective Relays Passcode Vulnerability , 2017 .
[40] G. C. Ejebe,et al. Fast contingency screening and evaluation for voltage security analysis , 1988 .
[41] Jiqiang Liu,et al. Adversarial attack and defense in reinforcement learning-from AI security view , 2019, Cybersecur..
[42] Haibo He,et al. Coordinated Topology Attacks in Smart Grid Using Deep Reinforcement Learning , 2021, IEEE Transactions on Industrial Informatics.
[43] Anjan Bose,et al. On-line power system security analysis , 1992, Proc. IEEE.
[44] Hamed Mohsenian-Rad,et al. Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes , 2017, IEEE Transactions on Smart Grid.