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Methods for network traffic anomaly detection

Methods for network traffic anomaly detection
网络流量异常检测方法
批准号:
445342-2012
负责人:
Lambadaris, Ioannis
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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英文摘要
Network anomalies are unusual and significant changes in the general characteristics of traffic flows. Such changes can span over multiple links and involve diverse traffic parameters (e.g., changes in traffic volume, suspicious variability of source-destination IP addresses, etc.). Diagnosing anomalies is critical for both network operators and end users. The reason is that such anomalies may point to a variety of forthcoming network failures. Such failures can be categorized into two forms, soft failures and hard failures. A soft failure can be thought of as a performance degradation; whereas, a hard failure would result in network devices/elements ceasing to operate. Depending on the network, these failures can cause mild or severe inconveniences, loss of productivity, loss of economic activity, or even, loss of public well-being.
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