Research On Rapid Warning Method Of Network Culture Security Based On Rough Set Theory

With the acceleration of globalization and the development of network technology,cultural communication has become more convenient.As a form of culture,Internet culture has an increasingly profound impact on people's lives,especially on the spiritual level.The establishment of an early warning mechanism for Internet cultural security is particularly critical.At present,the data on network culture is redundant and mixed with numerical and non-numerical data,making it difficult for regulatory authorities to conduct comprehensive and scientific early warning.In this regard,this paper comprehensively explores the complex decision problem of network culture risk identification factors from a multi-attribute perspective based on the advantages of rough sets to process mixed data quickly and efficiently,providing decision basis for the establishment of China's Internet culture early warning system.Firstly,the causes,characteristics and influencing factors of network culture risk are summarized based on its development.Index construction is then conducted following relevant principles and significant factors of the index system are described.Secondly,in view of the differences of attribute sets and the characteristics of the supervision mechanism which can classify labels,a multi-granularity rough decision analysis method based on supervision mechanism is proposed for complicated network culture data with multi-dimensions,which is more adaptive to process the mixed information system with noisy data and multi-source distribution.Under this premise,the reduction method corresponding to the conditional attribute set is generated.The decision rules are extracted and the initial information decision table is optimized,thus forming a complete rough set network culture risk assessment process.Finally,the decision information table is constructed with the data of several network cultural security events.The decision analysis is then carried out,and the key risk identification impact index is generated.In addition,the corresponding assessment decision rules are obtained,and the risk identification process is simplified,improving the efficiency.The improved rough set model can be applied to the empirical analysis of the network culture risk identification system,and can provide effective decision-making reference for network regulatory authorities.