Cyberattack intensity forecasting on informatization objects of critical infrastructures

Y M Krakovsky, A N Luzgin, Y M Ivanyo
2019 IOP Conference Series: Materials Science and Engineering  
In regulatory documents of recent years in the field of information security, much attention is paid to information systems of critical infrastructures. This, in turn, justifies the need for scientific research on the development of new methods of protection against cyberattacks on such information systems. For this task, interval forecasting is recommended based on a probabilistic neural network with dynamic updating of the smoothing parameter. As benchmarks for comparing the interval
more » ... ng results, the naive Bayesian model and the probabilistic cluster model were chosen.
doi:10.1088/1757-899x/481/1/012003 fatcat:yqjutxlfc5gbtjzbjgsozktv4u