Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT-Reference-Cited by-同舟云学术

Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT

Published:2023 Issue: Volume:11 Page:55370-55379
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Vaiyapuri Thavavel¹^ORCID,Shankar K.²^ORCID,Rajendran Surendran²,Kumar Sachin³^ORCID,Acharya Srijana⁴^ORCID,Kim Hyunil⁴^ORCID

Affiliation:

1. College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

3. Big Data and Machine Learning Laboratory, South Ural State University, Chelyabinsk, Russia

4. Department of Convergence Science, Kongju National University, Gongju-si 32588, South Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant funded by the Korea Government (MSIT)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10138178.pdf?arnumber=10138178

Reference26 articles.

1. Privacy reinforcement learning for faults detection in the smart grid

2. A Data Set Accuracy Weighted Random Forest Algorithm for IoT Fault Detection Based on Edge Computing and Blockchain

3. A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications

4. Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN

5. Blockchain and Deep Learning-Based Fault Detection Framework for Electric Vehicles

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