Method for evaluating multi-source intelligence risk by using neural network

A method for assessing multi-source intelligence risk by using a neural network performs threat intelligence information statistical analysis on a plurality of different data sources, and finally completes a risk assessment scene. According to the method, the requirements of performing multi-dimensional analysis and early warning on threat intelligence information in time in a multi-data-source and large-data-volume environment are effectively met, and the risk faced by the system is evaluated from the analysis and statistics of the data, so that the purposes of performing security detection, security defense, tracing, equivalent protection evaluation and the like on a target system are achieved. 一种利用神经网络对多源情报风险评估的方法，对多个不同数据源进行威胁情报信息统计分析，最终完成风险评估的场景。有效解决多数据源大数据量环境下，对威胁情报信息及时进行多维度分析、预警的需求，从对数据的分析统计中，评估出系统面临的风险，从而实现对目标系统进行安全检测、安全防御、追踪溯源、等保测评等目的。