摘要
网络安全漏洞频发,对企业和个人构成了严重威胁。传统的人工扫描和修复方式效率低下,难以应对日益复杂的网络环境。对此,研究一种网络安全漏洞扫描与修复自动化技术,通过漏洞知识库、智能扫描引擎和自动化修复工具的有机结合,实现高效、精准、全面的漏洞发现和修复。实验结果表明,该技术可以显著加快漏洞响应速度,减少95%的人工投入,修复成功率达到98.7%,对于提高网络安全防护水平具有重要意义。
Network security vulnerabilities occur frequently,posing severe threats to enterprises and individuals.Traditional manual scanning and repair methods are inefficient and challenging to cope with increasingly complex network environments.This paper researches an automated network security vulnerability scanning and remediation technology,which achieves efficient,accurate,and comprehensive vulnerability discovery and repair through the organic combination of vulnerability knowledge base,intelligent scanning engine,and automated remediation tools.Experimental results show that this technology can significantly improve vulnerability response speed,reduce manual input by 95%,and achieve a repair success rate of 98.7%.The research results are of great significance to enhance the level of network security protection.
作者
殷庆荣
王国伟
YIN Qingrong;WANG Guowei(Nanjing Cyberpeace Information Technology Co.,Ltd.,Nanjing 210000,China)
出处
《智能物联技术》
2024年第3期38-41,共4页
Technology of Io T& AI
关键词
网络安全
漏洞扫描
自动化修复
知识库
智能引擎
network security
vulnerability scanning
automated remediation
knowledge base
intelligent engine