基于人工智能的安全态势预测技术研究综述

Survey of Security Situation Prediction Technology Based on Artificial Intelligence

随着互联网技术的飞速发展,物联网、云计算、大数据等新兴技术相继兴起,我国互联网进入新的发展时代.同时,网络空间面临的安全威胁也日益严峻,网络安全态势感知技术被广泛使用和研究.安全态势感知模型由态势要素提取、态势理解和态势预测组成,安全态势预测是整个安全态势感知模型中最高层次的技术,对网络安全的防御有着重要的作用.首先对安全态势感知的概念和模型进行了归纳梳理,重点介绍了安全态势预测的主要研究内容和研究热点,分别从传统机器学习和深度学习的人工智能技术对安全态势预测的关键技术进行了详细的综述,最后对安全态势预测技术在人工智能时代下的研究需要解决的问题进行了阐述.

With the rapid development of Internet technology,technologies such as the Internet of Things,cloud computing,and big data have emerged one after another,China's Internet has entered a new era.At the same time,the cyberspace security threats are becoming more and more serious,it is of great significance to research cybersecurity situational awareness.The security situational awareness model is composed of situational element extraction,situational comprehension and situational prediction.Security situational prediction is the highest level technology in the entire security situational awareness model and plays an important role in the defense of network security.First,the concepts and models of security situation awareness are summarized,and then the general research contents and hot topics of security situation prediction are introduced,the key artificial intelligence technologies of security situation prediction are detailed summarized from traditional machine learning and deep learning respectively,and finally the problems that need to be solved in the research of security situation prediction technology are elaborated.