Investigation of the Method for Identifying Cyberattacks Based on Analysis of the State of Network Nodes

D. Parfenov, L. Zabrodina, A. Zhigalov, V. Torchin, Anton Parfenov
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Abstract

This study is aimed at building a model of attack detection based on the analysis of chains of states of network nodes. The proposed model allows us to determine the speed and acceleration of state change for a particular type of network attack at a given time. On the basis of the revealed patterns of changes in the States of network nodes, the study of chains of network events to identify the type of attacks. As part of the experimental study, the effectiveness of the developed model of attack recognition in the network of telecommunications service providers was evaluated, which shows a sufficiently high accuracy of determining the class of suspicious activity.
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基于网络节点状态分析的网络攻击识别方法研究
本研究旨在建立一个基于网络节点状态链分析的攻击检测模型。所提出的模型使我们能够确定特定类型的网络攻击在给定时间内状态变化的速度和加速度。在揭示网络节点状态变化规律的基础上,研究网络事件链来识别攻击类型。作为实验研究的一部分,对开发的攻击识别模型在电信服务提供商网络中的有效性进行了评估,该模型显示出确定可疑活动类别的足够高的准确性。
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