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Application of Radial Function Neural Network in Network Security

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2 Author(s)
Niu, Yi ; Dept. of Comput. & Inf. Sci., Dongguan Univ. of Technol., Dongguan, China ; Yichun Peng

With the widespread application of large and complicated network, network safety has become an important issue. In this paper, a security operation center (SOC) concept based on multi-sensor data fusion technology is presented from the viewpoint of the network security. A structure of a SOC system based on radial basis function neural (RBFN) network is proposed, and the detailed method of data fusion in SOC is discussed. A prototype of SOC system is developed according to this structure of the SOC, Experimental results indicate that the SOC system based on RBFN network can increase greatly the correctness of detection intrusion and decrease the rate of false positive.

Published in:

Computational Intelligence and Security, 2008. CIS '08. International Conference on  (Volume:1 )

Date of Conference:

13-17 Dec. 2008