Security operation center design based on radial basis function neural network

被引：0

作者：

Niu, Yi ^{[1
,2
]}

Zheng, Qilun ^{[1
]}

Peng, Hong ^{[1
]}

Liu, Liping ^{[3
]}

机构：

[1] S China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510610, Peoples R China

[2] Dongguan Univ Technol, City Coll, Dept Comp & Informat Sci, Dongguan 523106, Peoples R China

[3] Dongguan Univ Technol, Software Coll, Dongguan 523106, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷

关键词：

network security; multi-sensor data fusion; RBFN network; security operation center;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页码：401 / 406

页数：6

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