Cyberattack intensity forecasting on informatization objects of critical infrastructures

作者: Y M Krakovsky , A N Luzgin , Y M Ivanyo

DOI: 10.1088/1757-899X/481/1/012003

关键词:

摘要:

参考文章(6)
Ekta Gandotra, Divya Bansal, Sanjeev Sofat, Computational Techniques for Predicting Cyber Threats Advances in Intelligent Systems and Computing. pp. 247- 253 ,(2015) , 10.1007/978-81-322-2012-1_26
Michael W Browne, Cross-validation methods Journal of Mathematical Psychology. ,vol. 44, pp. 108- 132 ,(2000) , 10.1006/JMPS.1999.1279
Zhenxin Zhan, Maochao Xu, Shouhuai Xu, Predicting Cyber Attack Rates With Extreme Values IEEE Transactions on Information Forensics and Security. ,vol. 10, pp. 1666- 1677 ,(2015) , 10.1109/TIFS.2015.2422261
S. K. Kargapoltsev, Y. M. Krakovsky, A. V. Lukyanov, A. N. Luzgin, A DYNAMIC UPDATING ALGORITHM OF SMOOTHING PARAMETER VALUES OF PROBABILISTIC NEURAL NETWORKS Far East Journal of Electronics and Communications. ,vol. 17, pp. 909- 914 ,(2017) , 10.17654/EC017040909
Yury Krakovsky, Aleksandr Luzgin, Robust interval forecasting algorithm based on a probabilistic cluster model Journal of Statistical Computation and Simulation. ,vol. 88, pp. 2309- 2324 ,(2018) , 10.1080/00949655.2018.1462809
Y.M. Krakovsky, , B.V. Kurchinsky, A.N. Luzgin, , , Cyber-attack intensity interval forecasting on objects of critical information infrastructure Proceedings of Tomsk State University of Control Systems and Radioelectronics. ,vol. 21, pp. 71- 79 ,(2018) , 10.21293/1818-0442-2018-21-1-71-79