基于网络威胁迹象矩阵的网络安全问题决策支持

B. Akhmetov, V. Lakhno, A. Shaikhanova, S. Tolybayev
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引用次数: 0

摘要

由于信息技术和系统使用的全球化,确保其顺利运作的主要问题是电子资源的网络安全以及破坏性和未经授权的入侵的信息安全。用于检测或识别各种网络入侵以及确定攻击和异常质量的系统在市场上有自己的利基市场。本文描述了网络安全问题智能化决策支持系统基础特征空间的形成方法和算法。智能化支持系统,促进复杂系统对自身信息的保护。所描述的算法允许您在出现新的威胁时动态地补充数据库,这将减少分析它们的时间,同时对于难以解释的症状的情况,并减少系统中检测威胁、异常和对信息对象的攻击的误报数量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DECISION SUPPORT IN CYBERSECURITY PROBLEMS BASED ON MATRIX OF SIGNS OF CYBERTHREATS
Due to the globalization of the use of information technologies and systems, the main problem of ensuring their smooth functioning is the cybersecurity of electronic resources and information security from destructive and unauthorized intrusions. Systems for detecting or recognizing various network intrusions, as well as determining the quality of attacks and anomalies, have their own niche in the market.This paper describes a method and algorithms for the formation of a feature space for the base of an intellectualized decision support system in cybersecurity problems. Intellectualized support system for promoting the protection of information about yourself with complex systems. The described algorithms allow you to dynamically replenish the database when new threats appear, which will reduce the time for their analysis, at the same time for cases of difficult-to-explain symptoms and reduce the number of false positives in the system for detecting threats, anomalies and attacks on information objects
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