Anomalies detection in computer networks with the use of SDN

Marek BOLANOWSKI; Boguslaw TWAROG; Rafal MLICKI

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Anomalies detection in computer networks with the use of SDN

机译：使用SDN的计算机网络异常检测

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In the paper, the authors present a method of anomalies detection and identification in network traffic using statistical signatures. There is also shown a new system architecture based on the Software-Defined Networking (SDN) which allows for application of statistical anomaly detection in computer networks. With the proposed hardware-software model, it becomes possible to implement custom algorithms for the threats detection with the use of recognized and secure communications standards. The proposed architecture has been built based on an open-source solutions and can be used directly in production environments.

机译：在本文中，作者提出了一种使用统计签名对网络流量进行异常检测和识别的方法。还显示了基于软件定义网络（SDN）的新系统体系结构，该体系结构允许在计算机网络中应用统计异常检测。利用提出的硬件软件模型，可以使用公认的安全通信标准来实现用于威胁检测的自定义算法。所提议的体系结构是基于开源解决方案构建的，可以直接在生产环境中使用。

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来源
《Pomiary Automatyka Kontrola》 |2015年第9期|443-445|共3页
作者
Marek BOLANOWSKI; Boguslaw TWAROG; Rafal MLICKI;
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作者单位

RZESZOW UNIVERSITY OF TECHNOLOGY, DEPARTAMENT OF DISTRIBUTED SYSTEMS, 12 Powstancow Warszawy Ave., 35-959 Rzeszow;

UNIVERSITY OF RZESZOW, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, DEPARTMENT OF COMPUTER ENGINEERING, 1 Pigonia St., 35-959 Rzeszow;

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正文语种 eng
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关键词
anomaly detection; statistical signature; computer network; software defined network;

机译：异常检测;统计签名;计算机网络;软件定义的网络;

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专利

1. A Scalable and Energy-Efficient Anomaly Detection Scheme in Wireless SDN-Based mMTC Networks for IoT [J] . Bizhu Wang, Yan Sun, Xiaodong Xu Internet of Things Journal, IEEE . 2021,第3期

机译：无线SDN的基于无线SDN的MMTC网络中的可扩展和节能异常检测方案
2. The multi-demeanor fusion based robust intrusion detection system for anomaly and misuse detection in computer networks [J] . Gupta Akshay Rameshbhai, Agrawal Jitendra Journal of ambient intelligence and humanized computing . 2021,第1期

机译：基于多风度融合的计算机网络中的异常和滥用检测的多风度融合
3. An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks [J] . Ozgur Depren, Murat Topallar, Emin Anarim, Expert systems with applications . 2005,第4期

机译：用于计算机网络异常和滥用检测的智能入侵检测系统（IDS）
4. Leveraging SDN for Efficient Anomaly Detection and Mitigation on Legacy Networks [C] . Giotis Kostas, Androulidakis Georgios, Maglaris Vasilis European Workshop on Software Defined Networks . 2014

机译：利用SDN在旧版网络上进行有效的异常检测和缓解
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. SDN-Enabled IoT Anomaly Detection Using Ensemble Learning [O] . Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, -1

机译：使用集成学习的SDN支持的IoT异常检测
7. A Moving Window Principal Components Analysis Based Anomaly Detection and Mitigation Approach in SDN Network [O] . 2018

机译：基于SDN网络的异常检测和缓解方法的移动窗口主成分分析
8. Anomaly Detection in Disparate Computer Networks [R] . Corley, M. J. 2005

机译：异构计算机网络中的异常检测

Anomalies detection in computer networks with the use of SDN

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