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Network security situational assessment model based on improved AHP_FCE

机译:基于改进的AHP_FCE的网络安全态势评估模型

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As the network security events emerge in endlessly, security situational awareness has become a hot topic in the area of network security research in recent years. Considering the characteristics of multi-source information, complicated data structure in the network security research, this paper puts forward a multilevel fuzzy comprehensive evaluation model, which is based on improved Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation (AHP_FCE), for network security situational assessment. In this method, the hierarchical network index system which consists of three layers, namely, index layer, criterion layer and target layer from bottom to top, is established. The data of the index layer processed by the fuzzy mathematics is obtained from the massive snort alarm information and vulnerability information. The evaluation index weights each layer are calculated by the improved AHP. Comprehensive evaluation is started from the index layer, and by using the evaluation index weights, the factors of security situational are obtained in the criterion layer; by calculating layer by layer upwards, the hosts' security situational values are obtained in the target layer. Finally, the network security situational value is obtained using the hosts' weights. The effectiveness of this method is evaluated using DARPA 2000 data sets.
机译:随着网络安全事件层出不穷,安全态势感知已成为近年来网络安全研究领域的热门话题。针对网络安全研究中多源信息的特点,数据结构复杂的特点,提出了一种基于改进层次分析法和模糊综合评价(AHP_FCE)的多层次模糊综合评价模型,用于网络安全态势评估。 。该方法建立了由下至上的索引层,准则层和目标层三层组成的分级网络索引系统。从大量的snort警报信息和易损性信息中获取经过模糊数学处理的索引层的数据。通过改进的AHP计算每层的评估指标权重。从指标层开始进行综合评估,并利用评估指标权重,在标准层获得安全态势因素。通过逐层向上计算,可以在目标层获得主机的安全状况值。最后,使用主机权重获得网络安全状况值。使用DARPA 2000数据集评估此方法的有效性。

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