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Моделирование угрозы безопасности информационной системы с использованием аппроксимирующих функций

Моделирование угрозы безопасности информационной системы с использованием аппроксимирующих функций

Abstract

Представлен метод моделирования угрозы безопасности информационной системы с использованием аппроксимирующих функций, получаемых с помощью построенной укрупненной марковской модели угрозы атаки. Информационная система рассматривается как система с отказами и восстановлениями характеристики безопасности. Предлагаемый метод позволяет получать принципиально новые и крайне важные для проектирования систем защиты характеристики безопасности информационных систем.

Informational system security threat modeling method is developed using approximating functions designed on the base of pre-built Markov model of attack threat. The information system is considered as a system with failures and restorations of security characteristic function. The proposed method allows deriving principally new and important informational system security characteristics to be used in security system design.

Keywords

ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ,INFORMATIONAL SECURITY,УГРОЗА АТАКИ,ATTACK THREAT,УГРОЗА БЕЗОПАСНОСТИ,SECURITY THREAT,МОДЕЛИРОВАНИЕ,MODELING,МАРКОВСКИЙ ПРОЦЕСС,MARKOV PROCESS,АППРОКСИМИРУЮЩАЯ ФУНКЦИЯ,APPROXIMATING FUNCTION

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze