Enhanced Machine Learning Ensemble Approach for Securing Small Unmanned Aerial Vehicles From GPS Spoofing Attacks-Reference-Cited by-同舟云学术

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Enhanced Machine Learning Ensemble Approach for Securing Small Unmanned Aerial Vehicles From GPS Spoofing Attacks

Published:2024 Issue: Volume:12 Page:27344-27355
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Eshmawi Ala’ Abdulmajid¹,Umer Muhammad²^ORCID,Ashraf Imran³^ORCID,Park Yongwan³^ORCID

Affiliation:

1. Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

2. Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

3. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Gyeongsangbuk, Republic of Korea

Funder

2021 Yeungnam University Research Grant

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10416854.pdf?arnumber=10416854

Reference54 articles.

1. Impact Assessment of GNSS Spoofing Attacks on INS/GNSS Integrated Navigation System

2. Detection of GPS Spoofing Attack on Unmanned Aerial Vehicle System

3. A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

4. Applications and Research avenues for drone-based models in logistics: A classification and review

5. Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends

Cited by 2 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. Improving GNSS Reliability for Autonomous Vehicles by Detecting and Classifying Spoofing Attacks with Shallow Learning Models;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

2. Real-Time Detection for GPS Spoofing of Quad-Rotor Helicopter Based on Data Fusion;Lecture Notes in Computer Science;2024

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