Smart Grids: Security and Privacy Issues

1 Overview of the Security and Privacy Issues in Smart Grids1.1 Security Issues in Smart Grid1.2 Physical Network Security1.3 Information Network Security1.4 Privacy Issues in Smart Grids1.5 Book Structure and Outlook
I Physical Network Security
2 Reliability in Smart Grids2.1 Introduction2.2 Preliminaries on Reliability Quantification2.3 System Adequacy Quantification2.4 Congestion Prevention: An Economic Dispatch Algorithm2.4.1 9-bus Test Network2.4.2 IEEE 30-Bus Test Network2.5 Summary and Conclusion
3 Error Detection of DC Power Flow using State Estimation3.1 Introduction3.2 Preliminaries of the DC Power Flow and State Estimation3.2.1 Introduction to State Estimation3.3 Minimum-Variance Unbiased Estimator (MVUE)3.3.1 Measurement Error Representation in the Linear DC Power Flow Equation3.3.2 Linear Model3.3.3 Generalized Linear Model for State Estimation3.4 Bayesian-based LMMSE Estimator for DC Power Flow Estimation3.4.1 Linear Model3.4.2 Bayesian Linear Model3.4.3 Maximum Likelihood Estimator for DC Power Flow Estimation3.4.4 Bayesian-based Linear Estimator for DC Power Flow3.4.5 Recursive Bayesian-based DC power ow Estimation Approach for DC PowerFlow Estimation3.5 Error Detection Using Sparse Vector Recovery3.5.1 Sparse Vector Recovery3.5.2 Proposed Sparsity-based DC Power Flow Estimation3.5.3 Case Study and Discussion
4 Bad Data Detection4.1 Preliminaries on Falsification Detection Algorithms4.1.1 Related Work4.2 Time-Series Modeling of Load Power4.2.1 Outline of the Proposed Methodology4.2.2 Seasonality4.2.3 Fitting the AR and MA Models4.2.4 Forecast Validation Using Aikaike/Bayesian Information Criteria4.3 Case Study4.3.1 Stabilizing the Variance4.3.2 Fitting the Stationary Signal to a Model with Autoregressive and Moving-Average Elements4.3.3 Model Fine-Tuning and Evaluation4.4 Summary and Conclusion
II Information Network Security5 Cloud Network Data Security5.1 Introduction5.2 Data Security Protection in Cloud-connected Smart Grids5.2.1

Kianoosh G. Boroojeni is a PhD candidate of computer science at FIU. He received his Computer Science B.Sc in University of Tehran, Iran (2012).research interests include network algorithms, cybersecurity, and optimization algorithms. He co-authored two books entitled "Mathematical Theories of Distributed Sensor Networks" (published by Springer) and "Oblivious Network Routing: Algorithms and Applications" (published by MIT Press). Currently, Kianoosh is collaborating with Dr. S.S. Iyengar on some security issues in the context of cloud computing and smart grids.

M. Hadi Amini received the B.Sc. degree from the Sharif University of Technology, Tehran, Iran, in 2011, and the M.Sc. degree from Tarbiat Modares University, Tehran, in 2013, both in Electrical Engineering. He also received the M.Sc. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2015. He is currently pursuing the dual-degree Ph.D. in Electrical and Computer Engineering with the Department of Electrical and Computer Engineering, Carnegie Mellon University (CMU), Pittsburgh, PA, USA and Computer Science and Technology with the Sun Yat-sen University-CMU Joint Institute of Engineering, School of Electronics and Information Technology, Guangzhou, Guangdong, China. He is also with SYSU-CMU Shunde International Joint Research Institute, Shunde, Guangdong, China. Hadi serves as reviewer for several high impact journals and international conferences and symposiums in the field of smart grid. He has published more than 40 papers in refereed journal and international conferences in the smart grid related areas. He has been awarded the 5-year scholarship from the SYSU-CMU Joint Institute of Engineering in 2014, sustainable mobility summer fellowship from Massachusetts Institute of Technology (MIT) office of sustainability in 2015, and the deans honorary award from the president of Sharif University of Technology in 2007. His current research interests include