基于贝叶斯方法的网络安全态势感知模型

提出了一种基于贝叶斯方法的网络安全态势感知模型。分析了目前国内外NSSA模型的研究现状。本模型先对历史监测数据进行分析,得到先验概率,随后以构建的时序模型为时间推进过程,利用贝叶斯方法对数据进行处理,将历史的统计数据与监测数据相结合,进行有效的安全预测。在网络结构的构建上,采用层次化结构,配合较合理的评价体系,使得该模型能够准确、快速、合理的对网络安全状态进行预测,并且具有较好的实时性。

The Network Security Situational Awareness Model Based on Bayesian Method

Proposes a network security situational awareness model based on Bayesian method, and analyzes the research status of NSSA model at home and abroad. Analyzes historical monitoring data and obtains prior probability, and then constructs the time-series model for the process of time, applies Bayesian method to process the data, combines the historical statistical data with monitoring data and conducts the effective safety prediction. On the network structure construction, uses a hierarchical structure and coordinates a reasonable evaluation system for the model accurately, fast and reasonable prediction of network security, and the model has better real-time performance.