改进计算机系统网络流量异常检测的方案和模型

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI:10.1109/AICT50176.2020.9368781

Yusupov Sabirjan Yusupdjanovich, Gulomov Sherzod Rajaboevich

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引用次数: 2

摘要

本文提出了一种网络异常分类的方法，描述了网络流量变化的发生和性质所分类的异常之间的关系。提出了一种基于网络流量指标的网络异常和滥用检测方案，以及识别和检测网络异常的模型。

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Improvement the schemes and models of detecting network traffic anomalies on computer systems

This paper proposes an approach to the classification of network anomalies and provides a description of the relationship of anomalies classified due to the occurrence and nature of changes in network traffic. A scheme for detecting network anomalies and abuses based on network traffic indicators also models for identifying and detecting network anomalies are presented.

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来源期刊

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)

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