Detecting Attacks on a Water Treatment System Using Oneclass Support Vector Machines
暂无分享,去创建一个
K. P. Chow | Siu-Ming Yiu | Ken Yau | S. Yiu | K. Chow | K. Yau
[1] Guy Lapalme,et al. A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..
[2] Jun Sun,et al. Towards 'Verifying' a Water Treatment System , 2017, FM.
[3] R. A. Bottenberg,et al. APPLIED MULTIPLE LINEAR REGRESSION , 1964 .
[4] F. Mitchell,et al. The use of Artificial Intelligence in digital forensics: An introduction , 2014 .
[5] Sridhar Adepu,et al. A Dataset to Support Research in the Design of Secure Water Treatment Systems , 2016, CRITIS.
[6] Kamal Jamshidi,et al. Abnormal event detection in crowded scenes using one-class SVM , 2018, Signal Image Video Process..
[7] Hartmut König,et al. Potentials of Using One-Class SVM for Detecting Protocol-Specific Anomalies in Industrial Networks , 2015, 2015 IEEE Symposium Series on Computational Intelligence.
[8] Sridhar Adepu,et al. An Investigation into the Response of a Water Treatment System to Cyber Attacks , 2016, 2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE).
[9] Jun Sun,et al. Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning , 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).
[10] Richard Mounce,et al. Novelty detection for time series data analysis in water distribution systems using support vector machines , 2011 .
[11] Thomas G. Dietterich. Machine Learning for Sequential Data: A Review , 2002, SSPR/SPR.
[12] K. P. Chow,et al. Detecting Anomalous Programmable Logic Controller Events Using Machine Learning , 2017, IFIP Int. Conf. Digital Forensics.
[13] K. P. Chow,et al. PLC Forensics Based on Control Program Logic Change Detection , 2015, J. Digit. Forensics Secur. Law.
[14] Gerhard P. Hancke,et al. A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study , 2018, Sensors.
[15] Mohamed Bekkar,et al. Evaluation Measures for Models Assessment over Imbalanced Data Sets , 2013 .