A Method Based on BP Neural Network to Detect SIP DOS Flooding Attack

Hai Xiu Cheng; Bi Zeng

doi:10.4028/www.scientific.net/AMM.263-266.2773

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266A Method Based on BP Neural Network to Detect SIP...

A Method Based on BP Neural Network to Detect SIP DOS Flooding Attack

Abstract:

In order to detect the SIP flooding attacks in IMS (IP Multimedia Subsystem) network, the paper proposes a flooding attack detection method based on BP neural network, and analyses causes of SIP flooding attack, and thus determine the BP the input of the neural network characteristics. The simulation results show that this method has better detection performance.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2773-2778

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2773

Citation:

Cite this paper

Online since:

December 2012

Authors:

Hai Xiu Cheng*, Bi Zeng

Keywords:

BP Algorithm, BP Neural Network (BPNN), Flooding Attacks, Session Initiation Protocol

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* - Corresponding Author

References

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