构建信息安全系统属性指标预测模型的方法论

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI:10.3103/S0146411623080357
D. P. Zegzhda, A. F. Suprun, V. G. Anisimov, A. V. Tebekin, E. G. Anisimov
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引用次数: 0

摘要

摘要 提出了一种构建模型的方法,用于预测处于发展演变阶段的信息安全系统的属性指标。该方法基于信息安全系统的发展是其特性指标可接受范围的变化过程这一理念。假定表征每个属性的指标的当前值越接近所考虑的信息安全系统的最大可能值,用于改进每个属性的资源数量就越多。考虑到这一情况,在指标值接近最大可能值时,降低指标的相对改进率。
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Methodological Approach to Construct Models for Predicting Indicators of Properties of Information Security Systems

A methodological approach to construct models for predicting indicators of properties of information security systems at evolutionary stages of development is proposed. The approach is based on the idea of the development of information security systems as a process of change in the acceptable range of indicators characterizing their properties. It is assumed that the number of resources spent on improving each property is greater the closer the current value of the indicator characterizing this property is to the maximum possible value for the information security system under consideration. This circumstance is taken into account by reducing the relative rates of improvement in indicators as their values approach the maximum possible value.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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