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Video Traffic Detection Method for Deep Packet Inspection

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 169))

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Abstract

The basic concept of deep packet inspection over wireless or wired networks and the main challenges from deployment are described. One of the new traffic (video for gaming) detection issue encountered in the trials is reported, fast Hurst calculation approach to solve the particular issue is proposed. Experimental measurements are carried out to verify the special traffic behavior based approach. Section I is the introduction of the challenges, section II is the briefing for the customized issue and solution, section III is the detail measurement analysis and the last section is the summary and future work. The major challenge in this area is providing fast detection algorithm with quick turn around time, under limited computation, memory and time constrains. This paper offers an alternative complimentary methodology that is practical when traffic volume especially for video applications become heavy beyond normal deep packet inspection capability.

This work was partially supported by Jiangsu University Distinguished Expert Grant #10JDG071, and the NJLECO and MPX Technology Collaboration Project #561957.

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Huang, J., Zhu, B., Chen, Z. (2012). Video Traffic Detection Method for Deep Packet Inspection. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30223-7_22

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  • DOI: https://doi.org/10.1007/978-3-642-30223-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30222-0

  • Online ISBN: 978-3-642-30223-7

  • eBook Packages: EngineeringEngineering (R0)

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