基于人工智能的恶意加密和暗网流量检测解决方案

Malicious encryption and dark network traffic detection solution based on artificial intelligence

流量检测是用于分析网络运行状态和发现网络安全威胁事件的重要手段,其中对于恶意加密流量和暗网流量的检测更是网络流量检测的重点和难题。本文通过人工智能检测技术与传统安全检测技术相结合,基于人工智能检测模型对全网实时加密流量进行检测,实现对恶意加密流量和暗网流量的全场景监控,具有极高的可行性和广阔的应用前景。

In today’s society the rapid development of the Internet at the same time, the network security problem also gradually become the focus of attention. Traffic monitoring as one of the effective way to analyze network condition, the malicious encryption flow and dark net flow of artificial intelligence has always been a difficulty and keystone of the network traffic monitoring, traditional monitoring methods have been unable to carry on the effective monitoring. By artificial intelligent detection technology combined with traditional safety testing technology, based on artificial intelligence detection model to test the entire network real-time encryption flow, realize the malicious encryption flow and dark net flow of the whole scene monitoring, high feasibility and broad application prospects.