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针对大多方法感知范围局限、信息来源单一、空间时间复杂性高及准确性偏差较大等问题,提出了分层感知模型与构建广义立方体感知网络安全态势的方法.将监测到的连续型态势因子数据经“3σ法则”离散化预处理后,聚合在所构建的广义立方体格中,纵向上融合成组件的安全态势,横向上对组件安全态势采用统计的方法融合成网络的安全态势,为增强网络安全性提供可靠的参照依据.利用网络实例数据对所提出的网络安全态势感知模型和算法进行验证,表明了该方法的正确性.
Aiming at the problems such as the limited range of perception, the single source of information, the high time-complexity of space and the large deviation of accuracy, the layered sensing model and the method to construct the security posture of generalized cube perceptual network are proposed. After the data was discretized by “3σ rule”, the data was aggregated into the generalized cubes constructed by the authors. The data was integrated vertically into the security posture of the components, and the security posture of the components was integrated into the security posture of the network by the statistical method. Which can provide a reliable reference for enhancing the network security.According to the network instance data, the proposed network security situation awareness model and algorithm are verified, which shows the correctness of the method.