Correlation Anomaly Detection With Multiple Primary Attributes in Collaborative Device–Edge

Correlation Anomaly Detection With Multiple Primary Attributes in Collaborative Device–Edge–Cloud Network

Published:2023-03-15 Issue:6 Volume:10 Page:4922-4936
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tang Jine¹^ORCID,Wei Lingxiao¹,Liu Weijing²,Zhou Zhangbing³^ORCID,Gu Junhua⁴

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin Institute of Aerospace Mechanical and Electrical Equipment, Tianjin, China

3. School of Information Engineering, China University of Geosciences, Beijing, China

4. School of Artificial Intelligence and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China

Funder

Open Project Program of Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin Institute of Aerospace Mechanical and Electrical Equipment

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Guangdong Key Research and Development Plan 2020

National Key Research and Development Plan 2020

Supplementary Funds for Performance of Hebei Province Key Laboratory of Big Data Calculation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10061500/09944853.pdf?arnumber=9944853

Reference38 articles.

1. Sensor anomaly detection in the industrial internet of things based on edge computing

2. Detection of selective-edge packet attack based on edge reputation in IoT networks

3. Optimal Design of Hierarchical Cloud-Fog&Edge Computing Networks with Caching

4. Federated-Learning-Based Anomaly Detection for IoT Security Attacks

5. Spatio-Temporal Correlation based Anomaly Detection and Identification Method for IoT Sensors

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