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Semi-Supervised Transformation and Deep Embedding-Based Anomaly Identification for Agricultural Internet of Things

  • Published:2021-11-15 Issue:22 Volume:21 Page:24959-24966
  • ISSN:1530-437X
  • Container-title:IEEE Sensors Journal
  • language:
  • Short-container-title:IEEE Sensors J.

Author:

Yin XiangORCID,Wang LetianORCID,Jia WeikuanORCID,Jin ChengqianORCID

Funder

Natural Science Foundation of Shandong Province in China

National Key Research and Development Program of China Sub-project

Key Research and Development Project of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 7 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. Building a Smart Agricultural Product Classification System with Security Mechanism Using 5G Network;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

2. Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection;IEEE Internet of Things Journal;2023-11-01

3. Anomaly Detection for IoT Security: Comprehensive Survey;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19

4. UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions;IEEE Transactions on Intelligent Vehicles;2023

5. Anomaly Recognition Method for Massive Data of Power Internet of Things Based on Bayesian Belief Network;2023 2nd International Conference on Big Data, Information and Computer Network (BDICN);2023-01
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