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Optimizing Random Forests to Detect Intrusion in the Internet of Things

https://doi.org/10.2139/ssrn.4835636
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1 of the 26 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1371/journal.pone.0290694 (notice 2024-10-14).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-63833-7_32openalex-extracted
Forward Iterative Feature Selection Based on Laplacian Score
inferredcites →https://doi.org/10.1007/s11277-021-09420-0openalex-extracted
A Survey on Internet-of-Things Security: Threats and Emerging Countermeasures
inferredcites →https://doi.org/10.1007/s42979-020-00370-1openalex-extracted
Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease
inferredcites →https://doi.org/10.1016/j.comcom.2021.05.024openalex-extracted
Internet of Things attack detection using hybrid Deep Learning Model
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107810openalex-extracted
Anomaly-based intrusion detection system for IoT networks through deep learning model
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107876openalex-extracted
Hybrid optimization and deep learning based intrusion detection system
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.108190openalex-extracted
Hybrid intrusion detection system for wireless IoT networks using deep learning algorithm
inferredcites →https://doi.org/10.1016/j.cose.2021.102494openalex-extracted
The internet of things security: A survey encompassing unexplored areas and new insights
inferredcites →https://doi.org/10.1016/j.eswa.2021.114765openalex-extracted
Feature Selection for Classification using Principal Component Analysis and Information Gain
inferredcites →https://doi.org/10.1016/j.iot.2019.100129openalex-extracted
A survey on internet of things security: Requirements, challenges, and solutions
inferredcites →https://doi.org/10.1016/j.knosys.2021.107894openalex-extracted
A bio-inspired hybrid deep learning model for network intrusion detection
inferredcites →https://doi.org/10.1089/big.2021.0268openalex-extracted
A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model
inferredcites →https://doi.org/10.1109/access.2020.2972627openalex-extracted
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset
inferredcites →https://doi.org/10.1109/access.2021.3073408openalex-extracted
Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2022.3206425openalex-extracted
CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System
inferredcites →https://doi.org/10.1109/jiot.2021.3103320openalex-extracted
6G Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1155/2022/6473507openalex-extracted
Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm
inferredcites →https://doi.org/10.12785/ijcds/080505openalex-extracted
Network Based Intrusion Detection Using the UNSW-NB15 Dataset
inferredcites →https://doi.org/10.1371/journal.pone.0290694openalex-extracted
A distributed SDN-based intrusion detection system for IoT using optimized forests
inferredcites →https://doi.org/10.3389/fpubh.2021.824898openalex-extracted
A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning
inferredcites →https://doi.org/10.3390/electronics8090972openalex-extracted
Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments
inferredcites →https://doi.org/10.3390/iot2030022openalex-extracted
Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks
inferredcites →https://doi.org/10.3390/pr9050834openalex-extracted
HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System
inferredcites →https://doi.org/10.3390/sym14091916openalex-extracted
Toward Efficient Intrusion Detection System Using Hybrid Deep Learning Approach
inferredcites →https://doi.org/10.3390/telecom3010003openalex-extracted
XGB-RF: A Hybrid Machine Learning Approach for IoT Intrusion Detection
inferredcites →https://doi.org/10.37418/amsj.9.10.53openalex-extracted
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