Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

IF 8.6 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Journal of Big Data Pub Date : 2024-01-13 DOI:10.1186/s40537-023-00870-w

Mohamed H. Behiry, Mohammed Aly

引用次数: 0

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利用人工智能和机器学习方法的混合特征缩减技术检测无线传感器网络中的网络攻击

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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来源期刊

Journal of Big Data Computer Science-Information Systems

CiteScore

17.80

自引率

3.70%

发文量

105

审稿时长

13 weeks

期刊介绍： The Journal of Big Data publishes high-quality, scholarly research papers, methodologies, and case studies covering a broad spectrum of topics, from big data analytics to data-intensive computing and all applications of big data research. It addresses challenges facing big data today and in the future, including data capture and storage, search, sharing, analytics, technologies, visualization, architectures, data mining, machine learning, cloud computing, distributed systems, and scalable storage. The journal serves as a seminal source of innovative material for academic researchers and practitioners alike.