基于非线性增强显性特征的跨域入侵检测方法

IF 4.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Network and Service Management Pub Date : 2024-08-16 DOI:10.1109/tnsm.2024.3444909

Xu Yu, Yan Lu, Feng Jiang, Qiang Hu, Junwei Du, Dunwei Gong

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Cross-Domain Intrusion Detection Method Based on Nonlinear Augmented Explicit Features

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来源期刊

IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications

CiteScore

9.30

自引率

15.10%

发文量

325

期刊介绍： IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.