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With the volume and variety of network attacks increasing, efficient approaches to detect and stop network attacks before they damage the system or steal data is paramount to users and network administrators. Although many different detection mechanisms have been proposed, exiting detection methods generally tend to successfully detect attacks only after the attacks have finished and caused damage...
Terrible network environment is damaging the critical infrastructure and the interests of internet users. In order to ensure the protection and resilience of attack, it is important to better analyze and observe network traffic for discovering anomaly. This paper presents a clustering algorithm by using network-layer and transport-layer statistical feature to classify anomaly traffic. Experiments...
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