基于聚类和混合深度学习的优化集合学习模型用于无线入侵检测

IF 1.3 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IETE Journal of Research Pub Date : 2024-06-24 DOI:10.1080/03772063.2024.2367042

Perumal Pitchandi, M. Nivaashini, R. Kingsy Grace

引用次数: 0

摘要

机器学习（ML）和深度学习（DL）被广泛应用于多个领域，尤其是开发有效的入侵检测系统（IDS）。现有的无线网络 IDS 依赖于单一的 ...

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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Optimized Ensemble Learning Models Based on Clustering and Hybrid Deep Learning for Wireless Intrusion Detection

Machine learning (ML) and deep learning (DL) are used in numerous fields, particularly to develop effective intrusion detection systems (IDS). Existing wireless network IDS, which rely on a single ...

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来源期刊

IETE Journal of Research 工程技术-电信学

CiteScore

3.30

自引率

6.70%

发文量

308

期刊介绍： IETE Journal of Research is a Bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. IETE Journal of Research is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science and engineering and information technology.