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Traffic classification, a branch of passive network measurement, becomes more and more important for network management. As traditional traffic classification techniques like port-based and payload-based techniques become ineffective for complicated internet applications which use dynamic port number and encryption techniques to avoid detection, machine learning based techniques gained more and more...
The Network Address Translation (NAT) technique resolved the IPv4 address shortage problem effectively. Meanwhile, it brings issues to network management. Unauthorized NAT devices may be a significant security problem. Attackers may conduct malicious activities by using computers hidden behind unauthorized NAT. The remote NAT detect algorithm is proposed based on support vector machine method. Different...
Accurate and quick classification of Internet traffic is of fundamental importance to numerous network activities, such as quality of service, security monitoring and network management. So accurate, quick, effective classification is necessary. In this paper, we apply online SVM technique for Internet traffic identification and compare the result with that of previously applied naive Bayes kernel...
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