D. P. Zegzhda, A. F. Suprun, V. G. Anisimov, A. V. Tebekin, E. G. Anisimov
{"title":"Methodological Approach to Construct Models for Predicting Indicators of Properties of Information Security Systems","authors":"D. P. Zegzhda, A. F. Suprun, V. G. Anisimov, A. V. Tebekin, E. G. Anisimov","doi":"10.3103/S0146411623080357","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"881 - 885"},"PeriodicalIF":0.6000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411623080357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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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