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摘要:
Anomaly detection is now very important in the network because the increasing use of the internet and security of a network or user is a main concern of any network administrator. As the use of the internet increases, so the chances of having a threat or attack in the network are also increasing day by day and traffic in the network is also increasing. It is very difficult to analyse all the traffic data in network for finding the anomaly in the network and sampling provides a way to analyse the anomalies in network with less traffic data. In this paper, we propose a port scan detection approach called CPST uses connection status and pattern of the connections to detect a particular source is scanner or benign host. We also show that this approach works efficiently under different sampling methods.
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篇名 Two Pass Port Scan Detection Technique Based on Connection Pattern and Status on Sampled Data
来源期刊 电脑和通信(英文) 学科 医学
关键词 PORT SCAN TRW TAPS CPST PACKET Sampling Flow Sampling
年,卷(期) 2015,(9) 所属期刊栏目
研究方向 页码范围 1-8
页数 8页 分类号 R73
字数 语种
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研究主题发展历程
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PORT
SCAN
TRW
TAPS
CPST
PACKET
Sampling
Flow
Sampling
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研究去脉
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期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
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783
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