Visible to the public Neural Network Model for Information Security Incident Forecasting

TitleNeural Network Model for Information Security Incident Forecasting
Publication TypeConference Paper
Year of Publication2018
AuthorsKatasev, Alexey S., Emaletdinova, Lilia Yu., Kataseva, Dina V.
Conference Name2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Date PublishedMay 2018
ISBN Number978-1-5386-4307-5
Keywordsartificial neural network, Artificial neural networks, Biological neural networks, Collaboration, Forecasting, Information security, information security incident, information security incidents forecasting, intelligent forecasting system, Metrics, neural nets, neural network application, neural network model, Neural Network Security, neural network structure, policy-based governance, Predictive models, pubcrawl, resilience, Resiliency, security of data, time series, Time series analysis, time series prediction

This paper describes the technology of neural network application to solve the problem of information security incidents forecasting. We describe the general problem of analyzing and predicting time series in a graphical and mathematical setting. To solve this problem, it is proposed to use a neural network model. To solve the task of forecasting a time series of information security incidents, data are generated and described on the basis of which the neural network is trained. We offer a neural network structure, train the neural network, estimate it's adequacy and forecasting ability. We show the possibility of effective use of a neural network model as a part of an intelligent forecasting system.

Citation Keykatasev_neural_2018