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Network traffic analysis needs a lot of data which include much information. Predominating pattern state of traffic true and roundly has been an active and difficult research topic in the field of traffic analysis for many years. Up to now, simplex data analyzed, requirement of high dependence to analyst and the distortion of analyzed result because of some noisy data in the complicated network still...
At the present time, most existing network traffic analysis techniques just focus on the traffic volume. But the fact is that most typical network behavior like DoS, port scan and network scan, etc, also induce some feather parameter distribution of network traffic changed usually. In view of this characteristic, this paper proposes a non-supervised analysis technique for network traffic by introducing...
At the present time, most existing network traffic supervision systems just focus on the traffic volume, which leads to a wealth of information contained in this data source being not mined well. In view of this situation, this paper utilizes entropy to capture the distribution change of network traffic feature parameters such as source IP, destination IP and destination port, and analyses the network...
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