Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection-Reference-Cited by-同舟云学术

Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection

Published:2023-11-01 Issue:21 Volume:10 Page:18589-18598
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Fu Rui¹^ORCID,Ren Xiaojun¹^ORCID,Li Ye¹,Wu Yongtang¹,Sun Hao¹,Al-Absi Mohammed Abdulhakim²^ORCID

Affiliation:

1. Shandong Provincial University Laboratory for Protected Horticulture, Blockchain Laboratory of Agricultural Vegetables, Weifang University of Science and Technology, Weifang, China

2. Department of Computer Engineering, Graduate School, Dongseo University, Busan, South Korea

Funder

Weifang University of Science and Technology Doctoral Fund Project

Weifang Soft Science Research Program

Industry–University Cooperation and Collaborative Education Project of the Ministry of Education

Natural Science Foundation of Shandong Province

Soft Science Project, Shandong Province Key R&D Plan

Discipline Construction Project of Weifang University of Science and Technology

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/ielx7/6488907/10288305/10032258.pdf?arnumber=10032258

Reference44 articles.

1. Deep Learning for Optimal Deployment of UAVs With Visible Light Communications

2. A Review on Communications Perspective of Flying Ad-Hoc Networks: Key Enabling Wireless Technologies, Applications, Challenges and Open Research Topics

3. Network intrusion detection system for UAV ad-hoc communication: From methodology design to real test validation

4. UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

5. A blockchain-based decentralized machine learning framework for collaborative intrusion detection within UAVs

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