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Conclusion

Conclusion

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Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification — Recommend this title to your library

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Network traffic classification has the potential to resolve key issues for network operators, including network management problems, quality of service provisioning, Internet accounting and charging, and lawful interception [1]. The traditional network classification techniques that rely mostly on well-known port numbers have been used to identify Internet traffic. Such an approach was successful because traditional applications used fixed port numbers; however [9,10] show that the current generations of peer-to-peer (P2P) applications try to hide their traffic by using dynamic port numbers. Consequently, applications whose port numbers are unknown cannot be identified in advance.

Chapter Contents:

  • 11 Conclusion
  • 11.1 Contribution
  • 11.2 Future work

Inspec keywords: peer-to-peer computing; Internet; telecommunication traffic; telecommunication network management; computer network management

Other keywords: lawful interception; traditional network classification techniques; traditional applications; Internet traffic; dynamic port numbers; network operators; well-known port numbers; network management problems; network traffic classification; service provisioning; peer-to-peer applications

Subjects: Information networks; Network management; Other computer networks; Computer communications; Computer networks and techniques

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