Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing
暂无分享,去创建一个
Tomasz Andrysiak | Lukasz Saganowski | Piotr Kiedrowski | P. Kiedrowski | T. Andrysiak | L. Saganowski
[1] Adel Said Elmaghraby,et al. Cyber security challenges in Smart Cities: Safety, security and privacy , 2014, Journal of advanced research.
[2] Everette S. Gardner,et al. Exponential smoothing: The state of the art , 1985 .
[3] Sandra Mroczkowska,et al. Light color influence on obstacle recognition in road lighting , 2013 .
[4] Jose Gutierrez,et al. Energy Greedy Protocol Suite for Smart Grid Communication Systems Based on Short Range Devices , 2011, IP&C.
[5] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[6] Hans Schaffers,et al. Landscape and Roadmap of Future Internet and Smart Cities , 2012 .
[7] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[8] Simon Pietro Romano,et al. Evaluating Pattern Recognition Techniques in Intrusion Detection Systems , 2005, PRIS.
[9] Rob J Hyndman,et al. Automatic Time Series Forecasting: The forecast Package for R , 2008 .
[10] Rob J Hyndman,et al. A state space framework for automatic forecasting using exponential smoothing methods , 2002 .
[11] James P. Peerenboom,et al. Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .
[12] Yang Liu,et al. Leveraging Strategic Detection Techniques for Smart Home Pricing Cyberattacks , 2016, IEEE Transactions on Dependable and Secure Computing.
[13] Blyth C. Archibald. Parameter space of the Holt-Winters' model , 1990 .
[14] John R. Williams,et al. Data-Stream-Based Intrusion Detection System for Advanced Metering Infrastructure in Smart Grid: A Feasibility Study , 2015, IEEE Systems Journal.
[15] Peter Filzmoser,et al. Outlier identification in high dimensions , 2008, Comput. Stat. Data Anal..
[16] Farzad Rajaei Salmasi,et al. A Hierarchical Smart Street Lighting System With Brute-Force Energy Optimization , 2017, IEEE Sensors Journal.
[17] Jian Wang,et al. A Novel Estimation Method of Metering Errors of Electric Energy Based on Membership Cloud and Dynamic Time Warping , 2017, IEEE Transactions on Smart Grid.
[18] Yi Qian,et al. Artificial frequency selective channel for covert cyclic delay diversity orthogonal frequency division multiplexing transmission , 2015, Secur. Commun. Networks.
[19] Yves Croissant,et al. Panel data econometrics in R: The plm package , 2008 .
[20] Ing-Ray Chen,et al. Behavior-Rule Based Intrusion Detection Systems for Safety Critical Smart Grid Applications , 2013, IEEE Transactions on Smart Grid.
[21] Nirwan Ansari,et al. CONSUMER: A Novel Hybrid Intrusion Detection System for Distribution Networks in Smart Grid , 2013, IEEE Transactions on Emerging Topics in Computing.
[22] Wei Yang,et al. Design of new intelligent street light control system , 2010, IEEE ICCA 2010.
[23] Victoria J. Hodge,et al. A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.
[24] Georgios Galvas. Time series forecasting used for real-time anomaly detection on websites author : , 2016 .
[25] Saman A. Zonouz,et al. A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures , 2013, IEEE Journal on Selected Areas in Communications.
[26] Robert L. Goodrich,et al. The Forecast Pro methodology , 2000 .
[27] Piotr Kiedrowski. Errors Nature of the Narrowband PLC Transmission in Smart Lighting LV Network , 2016, Int. J. Distributed Sens. Networks.
[28] Shiyan Hu,et al. Strategic FRTU Deployment Considering Cybersecurity in Secondary Distribution Network , 2013, IEEE Transactions on Smart Grid.
[29] M. Healy,et al. Multivariate Normal Plotting , 1968 .
[30] Jugal K. Kalita,et al. Network Anomaly Detection: Methods, Systems and Tools , 2014, IEEE Communications Surveys & Tutorials.
[31] Marcos V. O. de Assis,et al. Anomaly Detection Using Forecasting Methods ARIMA and HWDS , 2013, 2013 32nd International Conference of the Chilean Computer Science Society (SCCC).
[32] Helena Rifà-Pous,et al. A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks , 2016, Sensors.
[33] Douglas M. Hawkins. Identification of Outliers , 1980, Monographs on Applied Probability and Statistics.
[34] Robert Smolenski. Conducted Electromagnetic Interference (Emi) in Smart Grids , 2012 .
[35] R. Smoleński. Conducted EMI Issues in Smart Grids , 2012 .
[36] R. C. Van Sickle. American and European circuit breaker rating , 1954 .
[37] Yang Xiao,et al. Cyber Security and Privacy Issues in Smart Grids , 2012, IEEE Communications Surveys & Tutorials.
[38] Minghua Zhu,et al. Lightweight Anomaly Detection for Wireless Sensor Networks , 2015, Int. J. Distributed Sens. Networks.
[39] Biming Tian,et al. Anomaly detection in wireless sensor networks: A survey , 2011, J. Netw. Comput. Appl..
[40] K. Ord,et al. Automatic Forecasting@@@AUTOBOX, Version 3.0@@@AUTOCAST II@@@FORECAST PRO, Version 2.0@@@NCSS@@@4CAST/2 , 1996 .
[41] H. Bozdogan. Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .
[42] E. S. Gardner. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .
[43] Siem Jan Koopman,et al. Time Series Analysis by State Space Methods , 2001 .
[44] Thoshitha T. Gamage,et al. Security Implications of Transport Layer Protocols in Power Grid Synchrophasor Data Communication , 2016, IEEE Transactions on Smart Grid.