An Accurate and Energy-Efficient Anomaly Detection in Edge-Cloud Networks-Reference-Cited by-同舟云学术

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An Accurate and Energy-Efficient Anomaly Detection in Edge-Cloud Networks

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)
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Author:

Li Yi¹,Zhao Deng¹,Hung Patrick C. K.²,Shu Lei³,Zhou Zhangbing¹

Affiliation:

1. School of Information Engineering, China University of Geosciences (Beijing),Beijing,China

2. Ontario Tech University,Faculty of Business and Information Technolory,Oshawa,Canada

3. College of Artificial Intelligence, Nanjing Agricultural University,Nanjing,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973399/9973403/09973694.pdf?arnumber=9973694

Reference12 articles.

1. Energy-Efficient Event Determination in Underwater WSNs Leveraging Practical Data Prediction

2. A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing

3. Energy-Efficient Anomaly Detection With Primary and Secondary Attributes in Edge-Cloud Collaboration Networks

4. BRTCO: A Novel Boundary Recognition and Tracking Algorithm for Continuous Objects in Wireless Sensor Networks

5. TGM-COT: energy-efficient continuous object tracking scheme with two-layer grid model in wireless sensor networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ML-Augmented Network Packet Broker based Anomaly Detection at IIoT-Edge Egress Port;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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