重庆科技大学学报（自然科学版）2025，Vol.27Issue(1)：99-106,8.DOI:10.19406/j.issn.2097-4531.2025.01.013
融合GSDE与GRU的计算机网络安全入侵检测模型研究
Computer Network Security Intrusion Detection Model Integrating GSDE and GRU
摘要
Abstract
In order to enhance the protection capability of computer network security,this paper proposes a comput-er network security intrusion detection model integrating GSDE and GRU,and establishes intrusion detection stand-ards for computer network security through simulating the process of network intrusion.It dynamically collects com-puter network traffic,logs,and other operational data,extracts computer network operational features through the fusion and learning iteration of GSDE and GRU,and detects the intrusion status of the current network through fea-ture matching.The result shows that the optimized design model has a higher accuracy in intrusion state detection than the traditional intrusion detection model under static and dynamic experimental conditions with the intrusion in-tensity detection error 0.004,indicating that the optimized design model has better performance of intrusion detec-tion.关键词
GSDE算法/GRU算法/计算机网络/安全入侵/入侵检测模型Key words
generalized state-dependent exploration algorithm/gated recurrent unit algorithm/computer network/security intrusion/intrusion detection model分类
信息技术与安全科学引用本文复制引用
姚孝生..融合GSDE与GRU的计算机网络安全入侵检测模型研究[J].重庆科技大学学报（自然科学版）,2025,27(1):99-106,8.基金项目
安徽省省级科研重点项目(自然科学类)"基于集成学习的多模态虚假新闻检测技术"(2024AH051545) （自然科学类）
