基于高斯朴素贝叶斯的网络安全态势感知技术研究与应用

Research and application of key technologies for network security situation awareness based on Gaussian Naive Bayes

网络安全态势感知技术是一种基于环境的、动态的、整体的数据融合方法,可以从宏观角度把数据融合起来,是网络安全强有力的监控技术和保障技术。通过机器学习算法发现数据之间的相关性,可以发现数据之间潜在的联系。高斯朴素贝叶斯是机器学习中较为通用的一种算法,通过对KDDCUP99数据集的训练和测试,得到的模型有效地对网络安全测试数据进行了预测。

Network security situation awareness technology is an environment-based,dynamic,overall data integration method,which can integrate data from a macro perspective,and is a powerful monitoring technology and guarantee technology of network security.Potential associations between data can be found by machine learning algorithms.Gaussian Naive Bayes is a general algorithm in machine learning,by training and testing on the KDD CUP99 dataset,the obtained model effectively predicts the testing data of network security.