Dissertation > Excellent graduate degree dissertation topics show

Traffic Classification Using Stream Data Mining Algorithm

Author: ZhuXin
Tutor: YangJiWen
School: Suzhou University
Course: Applied Computer Technology
Keywords: traffic identification stream-data mining CVFDT Decision Tree
CLC: TP393.06
Type: Master's thesis
Year: 2011
Downloads: 54
Quote: 0
Read: Download Dissertation


The emerging of new classes of applications makes Internet congestion problem even worse. In order to monitor if network runs with security. high efficiency and stability and ensure enough bandwidth in local area network, traffic classification and application identi-fication become more important.The core content of this paper are included as follows:(1)We analyze characteristic of current traffic identification methods.And we make a brief introduction of the background of traffic classification, for example, current classifi-cation model, capturing network flow, network flow characteristic extracting. Secondly, we analyze the weakness of the existing traffic classification approach.(2) We present a traffic classification approach based on stream-data mining, namely CVFDT. Compared to the original methods of C4.5 and Naive Bayes, the nodes of CVFDT created incrementally and the accuracy rate will be increased as more training data flow into. In addition, the original classification model can’t update dynamically, while CVFDT methods can be adapt to the changing network environment.(3)We explore the use of a stream data mining approach called STRKM for classifying traffic and design an on-line network application identification framework. STRKM, evolved by K-means algorithm, can update cluster model and detect new application. The experiment result shows this approach has lower error rate when the parameter is appropriate. It also can update the cluster center and can be well applied to the online traffic classification.We bring the stream data algorithm to the field of application identification, solve the problem of not identifying dynamic network.The research work in this paper not only extend the application area of the stream data algorithm, but also has certain practical significance for the online traffic classification problem.

Related Dissertations

  1. Research on Peer-to-Peer Traffic Identification Algorithm Based on Cluster Analysis,TP393.02
  2. Intelligent video detection technology based on the traffic lights control,TM923.5
  3. P2P Traffic Identification Method,TP393.06
  4. Research on the Stream Data Mining in Network Traffic Analysis,TP393.06
  5. Online advertising based on user behavior click fraud detection and research,TP311.13
  6. A Research of P2P Traffic Identification Based on Characteristic Process,TP393.02
  7. Study on P2P Traffic Identification Methods,TP393.02
  8. Transport Layer Identification of P2P Traffic,TP393.06
  9. Design and Implement of P2P Traffic Identification System Based on Compound Characteristics,TP393.06
  10. Design of P2P Traffic Identification Based on DPI and DFI,TP393.06
  11. BT traffic identification technology,TP393.093
  12. Research and Implementation on Technology of P2P Traffic Identification,TP393.06
  13. P2P Technology in the Application of the Internet,TP393.02
  14. Campus network the P2P protocol application data analysis and security issues,TP393.18
  15. Research and Implementation on P2P Traffic Identification and Control,TP393.06
  16. Research on Identification and Management of P2P Traffic,TP393.02
  17. The Study about the Trustworthy Network Traffic Management Based on Service-Awaring Technology,TP393.08
  18. Research of P2P File-Sharing Encrypted Traffic Identification Technology Based on Statistical Behavior,TP393.08
  19. Research on Neural Network Ensemble and Its Application to the Identification of P2P Traffic,TP393.02
  20. Research on Network Behavior Analysis Based on Stream Data Clustering,TP393.08
  21. Research on Network Application Identification Techniques Based on Feature Matching,TP393.06

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer networks, test , run
© 2012 www.DissertationTopic.Net  Mobile