Abstract
With the development of the Internet, more and more efforts have been put into strengthening the network monitoring. At the meanwhile, the randomness and unexpectedness of the network traffic is testing the robustness of network traffic monitoring and administration system. How to design a high speed network content auditing system has become a hot spot issue to be solved. This paper shows, by introducing payload balancing and machine learning into the system, the robustness and efficiency of the high-speed network content auditing system should be increased. The result of system test proves that the improvement measures mentioned above have remarkably increased the robustness of the network traffic audit system.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yang, J., Wu, Y., Dou, Y., Zhang, K. (2011). Robustness Promotion of High Speed Network Content Auditing Integrated System Based on Machine Learning Method. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_52
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DOI: https://doi.org/10.1007/978-3-642-23971-7_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23970-0
Online ISBN: 978-3-642-23971-7
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