Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks
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Victor O. K. Li | James J. Q. Yu | Yunhe Hou | Yunhe Hou | V. Li | J. Yu
[1] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[2] Anupam Joshi,et al. AI based approach to identify compromised meters in data integrity attacks on smart grid , 2017 .
[3] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Hamed Mohsenian-Rad,et al. False data injection attacks against nonlinear state estimation in smart power grids , 2013, 2013 IEEE Power & Energy Society General Meeting.
[5] David J. Hill,et al. Intelligent Time-Adaptive Transient Stability Assessment System , 2016, IEEE Transactions on Power Systems.
[6] Zuyi Li,et al. False Data Attacks Against AC State Estimation With Incomplete Network Information , 2017, IEEE Transactions on Smart Grid.
[7] Felix F. Wu,et al. Power system state estimation: a survey , 1990 .
[8] H. Vincent Poor,et al. Machine Learning Methods for Attack Detection in the Smart Grid , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[9] Xiaojiang Du,et al. Achieving Efficient Detection Against False Data Injection Attacks in Smart Grid , 2017, IEEE Access.
[10] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[11] Thomas H. Morris,et al. Applying Non-Nested Generalized Exemplars Classification for Cyber-Power Event and Intrusion Detection , 2016, IEEE Transactions on Smart Grid.
[12] Suiren Wan,et al. Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[13] Jin Wei,et al. Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism , 2017, IEEE Transactions on Smart Grid.
[14] Farzad R. Salmasi,et al. Detection of false data injection attacks against state estimation in smart grids based on a mixture Gaussian distribution learning method , 2017, IET Cyper-Phys. Syst.: Theory & Appl..
[15] Zhu Han,et al. Detecting False Data Injection Attacks on Power Grid by Sparse Optimization , 2014, IEEE Transactions on Smart Grid.
[16] Miao He,et al. Online dynamic security assessment with missing pmu measurements: A data mining approach , 2013, IEEE Transactions on Power Systems.
[17] Hamid Sharif,et al. A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges , 2013, IEEE Communications Surveys & Tutorials.
[18] Oliver Kosut,et al. Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation , 2015, IEEE Transactions on Power Systems.
[19] Athanasios V. Vasilakos,et al. False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey , 2017, IEEE Transactions on Industrial Informatics.
[20] G. Manimaran,et al. Cybersecurity for Critical Infrastructures: Attack and Defense Modeling , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[21] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[22] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[23] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.
[24] Tianshu Bi,et al. A novel hybrid state estimator for including synchronized phasor measurements , 2008 .
[25] Yang Liu,et al. Abnormal traffic-indexed state estimation: A cyber-physical fusion approach for Smart Grid attack detection , 2015, Future Gener. Comput. Syst..
[26] Victor O. K. Li,et al. Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks , 2019, IEEE Transactions on Smart Grid.
[27] Rong Zheng,et al. Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid , 2017, IEEE Systems Journal.
[28] Matthias Luther,et al. Dynamic Study Model for the interconnected power system of Continental Europe in different simulation tools , 2015, 2015 IEEE Eindhoven PowerTech.
[29] Xiaohua Ge,et al. Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks , 2018, IEEE Transactions on Signal and Information Processing over Networks.
[30] Chen-Ching Liu,et al. Anomaly Detection for Cybersecurity of the Substations , 2011, IEEE Transactions on Smart Grid.
[31] Geza Joos,et al. A Combined Wavelet and Data-Mining Based Intelligent Protection Scheme for Microgrid , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).
[32] Rongxing Lu,et al. Defending Against False Data Injection Attacks on Power System State Estimation , 2017, IEEE Transactions on Industrial Informatics.
[33] Mehul Motani,et al. Detecting False Data Injection Attacks in AC State Estimation , 2015, IEEE Transactions on Smart Grid.
[34] Ali Davoudi,et al. Detection of False-Data Injection Attacks in Cyber-Physical DC Microgrids , 2017, IEEE Transactions on Industrial Informatics.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[36] B. K. Panigrahi,et al. Joint-Transformation-Based Detection of False Data Injection Attacks in Smart Grid , 2018, IEEE Transactions on Industrial Informatics.
[37] Junbo Zhao,et al. Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks , 2017, IEEE Transactions on Smart Grid.
[38] Fei Hu,et al. Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter , 2014, IEEE Transactions on Control of Network Systems.
[39] Wen-Long Chin,et al. Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid , 2015, IEEE Transactions on Smart Grid.
[40] J. S. Thorp,et al. State Estimlatjon with Phasor Measurements , 1986, IEEE Transactions on Power Systems.
[41] J. Thorp,et al. State Estimation with Phasor Measurements , 1986, IEEE Power Engineering Review.
[42] Siddharth Sridhar,et al. Cyber–Physical System Security for the Electric Power Grid , 2012, Proceedings of the IEEE.
[43] Gabriela Hug,et al. Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks , 2012, IEEE Transactions on Smart Grid.
[44] Mauro Ursino,et al. A wavelet-based energetic approach for the analysis of biomedical signals: Application to the electroencephalogram and electro-oculogram , 2009, Appl. Math. Comput..
[45] A. Monticelli,et al. Electric power system state estimation , 2000, Proceedings of the IEEE.
[46] Zhao Yang Dong,et al. A Review of False Data Injection Attacks Against Modern Power Systems , 2017, IEEE Transactions on Smart Grid.
[47] David J. Hill,et al. Delay Aware Intelligent Transient Stability Assessment System , 2017, IEEE Access.
[48] Zuyi Li,et al. Modeling of Local False Data Injection Attacks With Reduced Network Information , 2015, IEEE Transactions on Smart Grid.
[49] Xiaohong Guan,et al. Enhanced Hidden Moving Target Defense in Smart Grids , 2019, IEEE Transactions on Smart Grid.
[50] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[51] Kit Po Wong,et al. Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation , 2016, IEEE Transactions on Smart Grid.
[52] Taskin Koçak,et al. Smart Grid Technologies: Communication Technologies and Standards , 2011, IEEE Transactions on Industrial Informatics.