摘要
在智慧城市建设中,网络环境复杂且安全威胁具有隐蔽性,导致态势感知优化检出率低。因此,文章设计了一种智慧城市建设中网络信息安全态势感知优化方法。该方法首先对网络环境进行预处理,以提取关键的安全态势感知特征,这些特征能反映网络安全状况;其次,结合先进算法和技术,构建网络信息安全态势感知优化模型,实现网络安全的感知和评估;最后,通过该模型的运行,实现安全态势感知的优化。实验结果表明,文章方法在感知能力上优势显著,优化检出率峰值为82%,有效拓展网络信息安全态势感知范围并控制感知误差,为实际应用提供有力支撑。
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.
作者
王艺多
WANG Yiduo(School of Management Engineering,Jilin Institute of Building Science and Technology,Changchun 130000,China)
出处
《无线互联科技》
2024年第17期66-68,共3页
Wireless Internet Science and Technology
关键词
智慧城市建设
网络信息
信息安全
态势感知
优化
smart city construction
network information
information security
situational awareness
optimization
作者简介
王艺多(1989-),女,实验师,硕士,研究方向:工商管理类,会计,金融。
