Intrusion detection in wireless sensor network using enhanced empirical based component analysis
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference31 articles.
1. A deep learning approach for intrusion detection using recurrent neural networks;Yin;IEEE Access,2017
2. A deep learning approach to network intrusion detection;Shone;IEEE Trans. Emerg. Top. Comput. Intell.,2018
3. A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems;Gumusbas;IEEE Syst. J.,2020
4. Intrusion detection systems, issues, challenges, and needs;Aljanabi;Int. J. Comput. Intell. Syst.,2021
5. Empirical evaluation of noise influence on supervised machine learning algorithms using intrusion detection datasets;Al-Gethami;Secur. Commun. Netw.,2021
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