计算机网络安全态势感知研究

Research on Computer Network Security Situation Awareness

经过分析当前网络安全态势数据,能够指导今后的网络安全态势预测,对于增强网络安全态势认知的主动性和可信度具有重要作用,因此制定基于量子遗传算法的网络安全态势感知方案。一方面,可以利用属性的相似度函数统计网络和安全状态信号的相似程度;另一方面,可以根据报警相似度函数求解报警信号的相似性关系。本次采用CICIDS2017执行模拟,实验结果显示,新提出的基于量子遗传算法的网络安全态势感知具有更高的准确度和稳定性。

After analyzing the current network security situation data,it can guide the future network security situation prediction,and play an important role in enhancing the initiative and credibility of network security situation awareness.Therefore,a network security situation awareness scheme based on quantum genetic algorithm is developed.On the one hand,the similarity function of attributes can be used to calculate the similarity between the network and security status signals;On the other hand,the similarity relationship of alarm signals can be solved based on the alarm similarity function.This time,CICIDS2017 is used to perform the simulation.The experimental results show that the newly proposed network security situational awareness based on quantum genetic algorithm has higher accuracy and stability.