Enhancing intrusion detection recursive feature elimination with resampling in WSN-Reference-Cited by-同舟云学术

Enhancing intrusion detection recursive feature elimination with resampling in WSN

Published:2023-10-19 Issue:6 Volume:14 Page:2642-2660
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Abhale Ashwini B.^ORCID,Avulapalli Jayaram Reddy^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-023-02128-3.pdf

Reference35 articles.

1. Abhale AB, Manivannan SS (2020) Supervised machine learning classification algorithmic approach for finding anomaly type of intrusion detection in wireless sensor network. Opt Mem Neural Netw 29(3):244–256

2. Ali A, Ming Y, Chakraborty S, Iram S (2017) A comprehensive survey on real-time applications of WSN. Futur Internet 9(4):77

3. Alrajeh NA, Khan S, Shams B (2013) Intrusion detection systems in wireless sensor networks: a review. Int J Distrib Sens Netw 9(5):167575

4. Ashwini AB, Manivannan SS (2019) Review on intrusion detection system in wireless sensor network. J Adv Res Dyn Control Syst 11(7 Special Issue):954–971

5. Belavagi MC, Muniyal B (2016) Performance evaluation of supervised machine learning algorithms for intrusion detection. Procedia Comput Sci 89:117–123

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