Anomaly detection in network traffic using extreme learning machine

机译：使用极端学习机的网络流量中的异常检测

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摘要

Intrusion detection systems are one of the most relevant security features against network attacks. Machine learning methods are used to analyze network traffic parameters for the presence of an attack signs. In this paper, extreme learning machine method is considered for intrusion detection in network traffic. The experimental results lead to the conclusion of practical significance of the proposed approach for attacks detection in network traffic.

机译：入侵检测系统是对网络攻击最相关的安全功能之一。机器学习方法用于分析网络流量参数，以存在攻击符号。本文认为，在网络流量中考虑了极限学习机方法。实验结果导致了攻击网络流量攻击检测方法的实际意义的结论。

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来源
《International Conference on Application of Information and Communication Technologies》|2016年|623p|共4页
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作者
Yadigar Imamverdiyev; Lyudmila Sukhostat;
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原文格式 PDF
正文语种
中图分类 TN91-53;
关键词
Training; Intrusion detection; Telecommunication traffic; Learning systems; Indexes;

机译：培训;入侵检测;电信交通;学习系统;索引;

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专利

1. Anomaly detection in traffic using L1-norm minimization extreme learning machine [J] . Yibing Wang, Dong Li, Yi Du, Neurocomputing . 2015,第ptaa期

机译：使用L1范数最小化极限学习机进行交通异常检测
2. Optimization of network traffic anomaly detection using machine learning [J] . ChoXuan Do, Nguyen Quang Dam, Nguyen Tung Lam International Journal of Electrical and Computer Engineering . 2021,第3期

机译：利用机器学习优化网络流量异常检测
3. Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic [J] . Razan Abdulhammed, Miad Faezipour, Abdelshakour Abuzneid, IEEE Sensors Letters . 2019,第1期

机译：基于深度和机器学习的不平衡网络流量基于异常的入侵检测方法
4. Anomaly detection in network traffic using extreme learning machine [C] . Yadigar Imamverdiyev, Lyudmila Sukhostat IEEE International Conference on Application of Information and Communication Technologies . 2016

机译：使用极限学习机的网络流量异常检测
5. Anomaly detection through statistics-based machine learning for computer networks. [D] . Zhu, Xuejun. 2006

机译：通过基于统计的机器学习对计算机网络进行异常检测。
6. Hierarchical Anomaly Detection Model for In-Vehicle Networks Using Machine Learning Algorithms [O] . Seunghyun Park, Jin-Young Choi 2020

机译：使用机器学习算法的车载网络的分层异常检测模型
7. Review of Current Machine Learning Approaches for Anomaly Detection in Network Traffic [O] . Wasim Ahmed Ali, Manasa K N, Mohammed Aljunid, 2020

机译：对网络流量异常检测的当前机器学习方法述评

Anomaly detection in network traffic using extreme learning machine

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