Network securitymanagement based on data fusion technology

Niu Yi, Zheng Qi-lun, Peng Hong
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引用次数: 4

Abstract

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
基于数据融合技术的网络安全管理
随着大型复杂网络的广泛应用,网络安全已成为一个重要的问题。本文从网络安全的角度出发,提出了一种基于多传感器数据融合技术的安全运营中心(SOC)概念。提出了一种基于径向基函数神经网络(RBFN)的SOC系统结构,并讨论了SOC中数据融合的具体方法。根据该SOC结构开发了SOC系统原型,实验结果表明,基于RBFN网络的SOC系统可以大大提高检测入侵的正确性,降低误报率
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