基于AI的网络安全态势感知模型与实时响应策略  

AI based network security situation awareness model and real time response strategy

作　　者：李翠红 LI Cuihong(School of Computer Science and Technology,Wuhan Institute of Technology,Wuhan 430073,China)

机构地区：[1]武汉工程大学计算机科学与工程学院,武汉430073

出　　处：《计算机应用文摘》2024年第24期173-175,共3页

摘　　要：凭借在大数据处理、模式识别、深度学习等方面的优势,AI技术能够对海量的网络数据进行智能分析,并从中提取潜在的威胁信息,实现全面的态势感知。此外,通过深度学习与数据驱动的技术手段,AI可以自动检测异常行为、识别未知威胁,结合自动化响应系统及时采取防御措施,减少人工干预和响应延迟。这种基于AI的网络安全防御模型不仅提高了威胁检测的准确性和效率,还增强了网络系统的自适应能力和反应速度,从而有效减少安全风险。With its advantages in big data processing,pattern recognition,deep learning and other aspects,AI technology can intelligently analyze massive network data and extract potential threat information from it to achieve comprehensive situational awareness.In addition,through deep learning and data-driven technology,AI can automatically detect abnormal behavior,identify unknown threats,and combine automated response systems to take timely defensive measures to reduce human intervention and response delays.This AI-based network security defense model not only improves the accuracy and efficiency of threat detection,but also enhances the adaptive ability and response speed of network systems,thus effectively reducing security risks.

关 键 词：网络安全 AI 态势感知 实时响应 深度学习 自动化防御 

分 类 号：TN915[电子电信—通信与信息系统]