preprint · Research Square

Machine Learning-Based Network Intrusion Detection for IOT and Smart Detection Using Recursive Feature Elimination, Binning Technique and Grid Search CV

20244 citationsOpen accessThe Federal Polytechnic, Ado-Ekiti

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Network Security and Intrusion Detection
Spam and Phishing Detection
Smart Systems and Machine Learning

Sustainable Development Goals

Life on Land

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.21203/rs.3.rs-5616301/v1

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.