基于大数据的网络信息安全认证仿真研究

Simulation Research on Network Information Security Authentication Based on Big Data

多种安全态势要素共同作用下会影响网络信息安全认证效果,为了增强网络信息认证的可靠性及精度,提出基于大数据的网络信息安全认证仿真研究。上述方法依据大数据分析方法提取网络信息特征属性,建立网络安全态势要素获取模型,提取网络安全态势要素,实现对安全态势要素的充分分析,降低其对网络信息安全认证的负面影响;采用频率水印嵌入算法构建网络信息的水印模型,依据傅立叶变换方法计算网络信息嵌入频率水印;最后依据嵌入水印完成网络信息的安全认证。实验结果表明,运用所提方法开展网络信息安全认证时,信息覆盖程度高、安全认证时间短以及认证效果好。

The effect of network information security authentication is always affected by the various security situation elements.In order to enhance the reliability and precision of network information authentication,a network information security authentication based on big data was researched and simulated.The network information characteristic attributes were extracted by the big data analysis method.And then an acquisition model was built to extract network security situation elements and realize the full analysis for security situation elements,thus reducing the negative impact on network information security authentication.Moreover,the frequency watermark embedding algorithm was used to construct the watermark model of network information.Furthermore,the embedding frequency watermark of network information was calculated by the Fourier transformation method.Based on these watermarks,the security authentication of network information was completed.Experimental results show that the proposed method has high information coverage,short authentication time,and ideal authentication effect in network information security authentication.