电信网信息内容安全事件态势感知模型研究

Research on Situation Awareness Model of Information Content Security Incidents in Telecommunication Network

针对电信网和信息内容安全事件的主要特征,提出了一种态势感知模型。模型通过分布式特征数据提取,采用分层递进的方式对原始数据融合后,对当前电信网络整体安全态势状况进行分析判定;针对模型的结构特点,采用基于证据理论的层次式信息融合近似算法,解决已知初始信息确定高层融合所需的概率分布的问题。仿真结果表明,该模型运算速度快、实时性好、准确度高,可以有效感知电信网络信息内容安全事件。

Aiming at the main features of the information content security incidents and telecommunication network themselves,a design of situation awareness model was presented.The model using distributed character data collection and hierarchical progressive integration,the status of security situation of the whole telecommunication network was analyzed.According to the structure of model,hierarchical information fusion proximate calculation based on evidence theory was used to resolve the problem of how to use the initial information to determine the probability in high level information fusion.The simulation results show that the model can compute fast in real time in high accuracy,and it can perceive and determine the incidents effectively.