Research on situational optimization and application of network information security in smart city construction
In the construction of smart cities,the complex network environment and hidden security threats lead to a low detection rate of situational awareness optimization.Therefore,this article proposes an optimization method for network information security situational awareness in the construction of smart cities.Firstly,this method preprocesses the network environment to extract key security situational awareness features that can reflect the network security situation.Then,combining advanced algorithms and technologies,a network information security situational awareness optimization model is constructed to achieve the perception and evaluation of network security.Finally,through the operation of this model,the optimization of security situational awareness is achieved.The experimental results show that the proposed method has significant advantages in perception ability,with an optimized detection rate peak of 82%.It effectively expands the range of network information security situational awareness and controls perception errors,providing strong support for practical applications.
smart city constructionnetwork informationinformation securitysituational awarenessoptimization
万方数据
维普
