DocumentCode
3492737
Title
Forecasting of undesired events in computer system with help of dynamical model
Author
Abdenov, Amirza Zh ; Zarkumova-Raikhel, Ramilya N.
Author_Institution
Novosibirsk State Tech. Univ., Novosibirsk, Russia
fYear
2012
fDate
2-4 Oct. 2012
Firstpage
13
Lastpage
15
Abstract
We suggest using linear discrete stochastic model in the form of states space for forecasting number of incidents in enterprise system of informational security (IS). Algorithm for the model is described. In accordance with the model and with the Kalman filter equations calculation of estimates for forecast and filtration with respect to the number of IS incidents is performed.
Keywords
Kalman filters; organisational aspects; security of data; stochastic processes; IS incidents; Kalman filter equations; computer system; dynamical model; enterprise system; informational security; linear discrete stochastic model; state space; undesired event forecasting; Computational modeling; Computers; Electronic mail; Forecasting; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Actual Problems of Electronics Instrument Engineering (APEIE), 2012 11th International Conference on
Conference_Location
Novosibirsk
Print_ISBN
978-1-4673-2842-5
Type
conf
DOI
10.1109/APEIE.2012.6629045
Filename
6629045
Link To Document