Anomaly Detection in Disparate Computer Networks

机译：异构计算机网络中的异常检测

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摘要

Two SIMPCAP based statistical applications for monitoring network status. Both are in the form of independent executable files. The first provides real-time and post mortem capability for visualizing in-bound and out- bound bandwidth usage. User selectable parameters include the network IP address to monitor, a flag to distinguish between real-time or off-line processing, and a field for selecting the sampling material interval for processing with RRD-tool. The second tool provides a capability for measuring in-bound and out-bound traffic by protocol for using selectable time intervals.

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作者
Corley, M. J.;
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年度 2005
页码 1-16
总页数 16
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Data processing; Anomalies; Detection; Networks; Measurement; Monitoring; Real time; Sampling; User needs; Records; Online systems; Bandwidth; Communications protocols; Software tools;

机译：数据处理;异常;检测;网络;测量;监控;实时;采样;用户需求;记录;在线系统;带宽;通信协议;软件工具;

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2. 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

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3. Efficient Computer Network Anomaly Detection by Changepoint Detection Methods [J] . Tartakovsky A. G., Polunchenko A. S., Sokolov G. Selected Topics in Signal Processing, IEEE Journal of . 2013,第1期

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4. NEURAL NETWORK BASED ANOMALY DETECTION IN COMPUTER NETWORKS: A NOVEL TRAINING PARADIGM [C] . Ahmad R. Sharafat, Mehdi Rasti, Ali Yazdian Computer Applications in Industry and Engineering . 2003

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5. Anomaly detection through statistics-based machine learning for computer networks. [D] . Zhu, Xuejun. 2006

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6. Integration of Disparate Microcomputer Systems Using a Mini-computer as a Passive File Server in a Distributive Network [O] . Jeffrey S. Hammer, John S. Lyons, Terrance P. Barrett 1985

机译：使用微型计算机作为分布式网络中的被动文件服务器的异构计算机系统的集成
7. Efficient Computer Network Anomaly Detection by Changepoint Detection Methods [O] . Er G. Tartakovsky, Senior Member, Aleksey S. Polunchenko, 2013

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Anomaly Detection in Disparate Computer Networks

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