A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence-Reference-Cited by-同舟云学术

A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence

Published:2024-05-15 Issue:10 Volume:11 Page:18366-18380
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhao Yao¹^ORCID,Xu Chenhao¹^ORCID,Qu Youyang²^ORCID,Xiang Yong¹^ORCID,Chen Feifei¹^ORCID,Gao Longxiang²^ORCID

Affiliation:

1. School of Information Technology, Deakin University, Burwood, VIC, Australia

2. Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Funder

Australian Research Council

Taishan Scholars Program

Shandong Excellent Young Scientists Fund Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10438011.pdf?arnumber=10438011

Reference61 articles.

1. Internet of Things Market Analysis Forecasts, 2020–2030

2. Edge Intelligence: A Computational Task Offloading Scheme for Dependent IoT Application

3. Efficient Analysis of Resource Availability for Cloud Computing Systems to Reduce SLA Violations

4. EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain

5. Challenge-response mutual authentication protocol for EMV contactless cards

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