Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things-Reference-Cited by-同舟云学术

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Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things

Published:2022-08-19 Issue:2 Volume:17 Page:269-288
ISSN:1751-8709
Container-title:IET Information Security
language:en
Short-container-title:IET Information Security

Author:

Ren Junyu¹²³^ORCID,Wan Haibin²³,Zhu Chaoyang¹,Qin Tuanfa²³

Affiliation:

1. School of Electronic and Information Engineering South China University of Technology Guangzhou China

2. School of Computer and Electronic Information Guangxi University Nanning China

3. Guangxi Key Laboratory of Multimedia Communications and Network Technology Guangxi University Nanning China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Networks and Communications,Information Systems,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ise2.12091

Reference42 articles.

1. Blockchain-Enabled Distributed Security Framework for Next-Generation IoT: An Edge Cloud and Software-Defined Network-Integrated Approach

2. Detection of hidden data attacks combined fog computing and trust evaluation method in sensor‐cloud system

3. A survey of trust and reputation systems for online service provision

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1. A stacking ensemble model for predicting soil organic carbon content based on visible and near-infrared spectroscopy;Infrared Physics & Technology;2024-08

2. Enhancing the Internet of Medical Things (IoMT) Security with Meta-Learning: A Performance-Driven Approach for Ensemble Intrusion Detection Systems;Sensors;2024-05-30

3. Enhancing IoT Security With Trust Management Using Ensemble XGBoost and AdaBoost Techniques;IEEE Access;2024

4. Decentralized Blockchain-Based and Trust-Aware Task Offloading Strategy for Healthcare IoT;IEEE Internet of Things Journal;2024-01-01

5. Wireless body area networks task offloading method combined with multiple communication and computing resources supported by MEC;IET Communications;2023-03-29

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