摘要
当今网络安全问题日趋严峻,了解网络当前安全状态,预测未来网络安全状态,有利于决策者及时做出准确的网络安全决策。在大规模复杂网络环境下,传统单一的网络管理方法并不能完全满足网络态势感知的需求,基于信息融合的网络态势感知成为未来发展的方向。由于网络态势评估是网络态势感知的核心环节,文章从网络态势感知的评估技术出发,针对态势评估中的粗糙集方法需要离散化而损失精度的缺点,引入模糊粗糙集技术,综合粗糙集和模糊集在处理不确定和模糊信息方面的优势,建立了网络安全态势评估的模糊粗糙集模型。实验证明,模型能提供较高的准确率,能为网络安全态势评估给出一个较为准确合理的评估结果。
Recently, the network security has become a severe issue. Obtaining the current network security status and predicting the future network security status may contribute to the decisions given by the decision makers. Under the large-scale and complex network environment, the traditional network management method cannot completely meet the demand of network situation awareness, and the network situation awareness based on information fusion has become the development direction of the future. Because network situation assessment is the core of network situation awareness, this paper introduces fuzzy rough set theory based on technologies of network security situation assessment, overcoming the defect that rough set method has to discretize while lost accuracy. By combining the advantages of the fuzzy set and rough set in dealing with uncertainty and vagueness of the data, this paper establishes a network security situation assessment model based on fuzzy rough set. The experiment shows that the model can provide high accuracy, and can provide a more accurate and reasonable evaluation results for the network security situation assessment.
出处
《信息网络安全》
2015年第9期58-61,共4页
Netinfo Security
关键词
网络安全
信息融合
态势评估
模糊粗糙集
network security
information fusion
situation assessment
fuzzy rough set
