References
Ahmed, M., Mahmood, A. N., & Hu, J. (2016). A survey of network anomaly detection techniques. Journal of Network and Computer Applications, 60, 19-31. https://doi.org/10.1016/j.jnca.2015.11.016 Alimi, O. A., Ouahada, K., & Abu-Mahfouz, A. M. (2020). A review of machine learning approaches to power system security and stability. IEEE Access, 8, 113512-113531. https://doi.org/10.1109/ACCESS.2020.3003568 Ani, U. P. D., He, H., & Tiwari, A. (2017). Review of cybersecurity issues in industrial critical infrastructure: Manufacturing in perspective. Journal of Cyber Security Technology, 1(1), 32-74. https://doi.org/10.1080/23742917.2016.1252211 Asif, M. R., Hasan, K. F., Islam, M. Z., & Khondoker, R. (2021) STRIDE-based Cyber Security Threat Modeling for IoT-enabled Precision Agriculture Systems. arXiv. https://arxiv.org/abs/2201.09493 Barani, M., Shayeghi, H., & Amini, M. H. (2021). Reliability analysis of cyber-physical microgrids: Study of grid loads and renewable integration. IET Generation, Transmission & Distribution, 15(16), 2125-2136. https://doi.org/10.1049/gtd2.12049 Cai, N., Wang, J., & Yu, X. (2016). SCADA system security: Complexity, history and new developments. 2016 IEEE International Conference on Industrial Technology (ICIT), 1569-1574. https://doi.org/10.1109/ICIT.2016.7475032 Colak, I., Kabalci, E., Fulli, G., & Lazarou, S. (2016). A survey on the contributions of power electronics to smart grid systems. Renewable and Sustainable Energy Reviews, 47, 562- https://doi.org/10.1016/j.rser.2015.03.031 Ferrag, M. A., Maglaras, L., Janicke, H., Jiang, J., & Shu, L. (2017). Authentication protocols for Internet of Things: A comprehensive survey. Security and Communication Networks, 2017, 1-41. https://doi.org/10.1155/2017/6562953 Gai, K., Wu, Y., Zhu, L., Xu, L., & Zhang, Y. (2019). Permissioned blockchain and edge computing empowered privacy-preserving smart grid networks. IEEE Internet of Things Journal, 6(5), 7992-8004. https://doi.org/10.1109/JIOT.2019.2904303 Gunduz, M. Z., & Das, R. (2020). Cyber-security on smart grid: Threats and potential solutions. Computer Networks, 169, 107094. https://doi.org/10.1016/j.comnet.2019.107094 Jokar, P., Arianpoo, N., & Leung, V. C. M. (2016). Electricity theft detection in AMI using customers' consumption patterns. IEEE Transactions on Smart Grid, 7(1), 216-226. https://doi.org/10.1109/TSG.2015.2425222 Khanal, S., Fulton, J., & Shearer, S. (2017). An overview of current and potential applications of thermal remote sensing in precision agriculture. Computers and Electronics in Agriculture, 139, 22-32. https://doi.org/10.1016/j.compag.2017.05.001 Kimani, K., Oduol, V., & Langat, K. (2019). Cyber security challenges for IoT-based smart grid networks. International Journal of Critical Infrastructure Protection, 25, 36-49. https://doi.org/10.1016/j.ijcip.2019.01.001 Kordy, B., Mauw, S., Radomirovi?, S., & Schweitzer, P. (2014). Attack–defense trees. Journal of Logic and Computation, 24(1), 55-87. https://doi.org/10.1093/logcom/exs029 Liang, G., Weller, S. R., Zhao, J., Luo, F., & Dong, Z. Y. (2017). The 2015 Ukraine blackout: Implications for false data injection attacks. IEEE Transactions on Power Systems, 32(4), 3317-3318. https://doi.org/10.1109/TPWRS.2016.2631891 Mishra, S., Anderson, K., Miller, B., Boyer, K., & Warren, A. (2019). Microgrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies. (pre-print) https://arxiv.org/abs/1910.01234 Musleh, A. S., Yao, G., & Muyeen, S. M. (2019). Blockchain applications in smart grid Review and frameworks. IEEE Access, 7, 86746-86757. https://doi.org/10.1109/ACCESS.2019.2920682 Rieger, C., Gertman, D., & McQueen, M. (2017). Resilient control systems: Next generation design research. 2017 Resilience Week (RWS), 1-9. https://doi.org/10.1109/RWEEK.2017.8088642 Stellios, I., Kotzanikolaou, P., Psarakis, M., Alcaraz, C., & Lopez, J. (2018). A survey of IoT- enabled cyberattacks: Assessing attack paths to critical infrastructures and services. IEEE Communications Surveys & Tutorials, 20(4), 3453-3495. https://doi.org/10.1109/COMST.2018.2855563 Tantawy, A., Erradi, A., Abdelwahed, S., & Shaban, K. (2020). Model-Based Risk Assessment for Cyber-Physical Systems Security. (CSTR testbed) https://arxiv.org/abs/2005.13738 Tuyen, V., Nguyen, B., Cheng, Z., Chow, M.-Y., & Zhang, B. (2019). Cyber-Physical Microgrids: Toward Future Resilient Communities. (pre-print) https://arxiv.org/abs/1912.05682 Vavra, J., Munroe, D., Hohn, M. E., Ordway, E. M., & Tieman, S. (2021). Estimating on-farm costs of coronavirus (COVID-19) for agricultural producers. Applied Economic Perspectives and Policy, 43(1), 380-391. https://doi.org/10.1002/aepp.13090 Vellaithurai, C. B., Biswas, S. S., Liu, R., & Srivastava, A. (2015). Real time modeling and simulation of cyber-power system. Proceedings of the 2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, 1-6. https://doi.org/10.1109/MSCPES.2015.7115404 Zografopoulos, I., Ospina, J., Liu, X., & Konstantinou, C. (2021). Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. IEEE Access, 9, 29775-29818. https://doi.org/10.1109/ACCESS.2021.3058403