Information Security Incident Forecasting

被引：2

作者：

Saurenko, T. N. ^{[2
]}

Anisimov, V. G. ^{[1
]}

Anisimov, E. G. ^{[2
]}

Kasatkin, V. V. ^{[3
]}

Los, V. P. ^{[4
]}

机构：

[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia

[2] Peoples Friendship Univ Russia, Moscow 117198, Russia

[3] Russian Acad Sci, St Petersburg Fed Res Ctr, St Petersburg 199178, Russia

[4] MIREA Russian Technol Univ, Moscow 119454, Russia

来源：

AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2021年 / 55卷 / 08期

关键词：

information systems; information security incidents; damage forecasting models; PROTECTION;

D O I：

10.3103/S0146411621080277

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article suggests methodological approaches to building conventionally determined and stochastic models of forecasting damages from security incidents in information systems of different applications. The original information for modeling includes a priori data on the possible kind of forecast processes; these data are derived from experience in running similar information systems and from expert estimates. The information for modeling also includes statistics on temporary and volumetric characteristics of damage from security incidents in the examined system. The data fusion is based on the maximum uncertainty principle.

引用

页码：903 / 907

页数：5

共 18 条

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