K. V. Pitelinsky, V. V. Britvina, K. A. Gruzdov, E. O. Bobrova, S. O. Makovey
{"title":"A Systematic Approach to the Analysis of Threat Models for Technical Information Leak Channels","authors":"K. V. Pitelinsky, V. V. Britvina, K. A. Gruzdov, E. O. Bobrova, S. O. Makovey","doi":"10.3103/S0005105526700925","DOIUrl":null,"url":null,"abstract":"<p>A comprehensive model for the systemic analysis of threats of confidential information leakage through technical channels (TIC) is proposed. The model includes formalization of leak sources, propagation channels (electromagnetic, acoustic, acousto-optic, etc.), and interception methods. Based on the FSTEC of Russia registry, a classification of TIC threats and their parameterization were performed. A probabilistic-statistical model was developed for quantitatively assessing leak risks and optimizing the selection of information security tools.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"60 4","pages":"240 - 249"},"PeriodicalIF":0.4000,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105526700925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
A comprehensive model for the systemic analysis of threats of confidential information leakage through technical channels (TIC) is proposed. The model includes formalization of leak sources, propagation channels (electromagnetic, acoustic, acousto-optic, etc.), and interception methods. Based on the FSTEC of Russia registry, a classification of TIC threats and their parameterization were performed. A probabilistic-statistical model was developed for quantitatively assessing leak risks and optimizing the selection of information security tools.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.