自动化安全分析系统中基于攻击图的数据表示

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624701232

E. M. Orel, D. A. Moskvin, A. A. Lyashenko

{"title":"自动化安全分析系统中基于攻击图的数据表示","authors":"E. M. Orel, D. A. Moskvin, A. A. Lyashenko","doi":"10.3103/S0146411624701232","DOIUrl":null,"url":null,"abstract":"<p>A mathematical model for data representation is developed for use in automated security analysis systems. The model allows linking information about the system obtained by a specialist during the security analysis process with the set of attack scenarios in which they may be involved. Each time a scenario is applied, new information emerges, which helps expand the attack graph.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1436 - 1441"},"PeriodicalIF":0.6000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Attack Graph-Based Data Presentation for Use in Automated Security Analysis Systems\",\"authors\":\"E. M. Orel, D. A. Moskvin, A. A. Lyashenko\",\"doi\":\"10.3103/S0146411624701232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A mathematical model for data representation is developed for use in automated security analysis systems. The model allows linking information about the system obtained by a specialist during the security analysis process with the set of attack scenarios in which they may be involved. Each time a scenario is applied, new information emerges, which helps expand the attack graph.</p>\",\"PeriodicalId\":46238,\"journal\":{\"name\":\"AUTOMATIC CONTROL AND COMPUTER SCIENCES\",\"volume\":\"58 8\",\"pages\":\"1436 - 1441\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2025-03-14\",\"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/S0146411624701232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411624701232","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

摘要

建立了用于自动安全分析系统的数据表示数学模型。该模型允许将专家在安全分析过程中获得的有关系统的信息与他们可能涉及的攻击场景集联系起来。每次应用一个场景时，都会出现新的信息，这有助于扩展攻击图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Attack Graph-Based Data Presentation for Use in Automated Security Analysis Systems

查看原文本刊更多论文

Attack Graph-Based Data Presentation for Use in Automated Security Analysis Systems

A mathematical model for data representation is developed for use in automated security analysis systems. The model allows linking information about the system obtained by a specialist during the security analysis process with the set of attack scenarios in which they may be involved. Each time a scenario is applied, new information emerges, which helps expand the attack graph.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

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