Modified Marine Predators Algorithm With Deep Learning-Driven Security Solution for IoT-Assisted UAV Networks-Reference-Cited by-同舟云学术

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Modified Marine Predators Algorithm With Deep Learning-Driven Security Solution for IoT-Assisted UAV Networks

Published:2024 Issue: Volume:12 Page:54991-54998
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Babu S. Anantha¹,Ranganath Abadhan²,Goswami Manish M.³,Gnanaprakasam T.⁴^ORCID,Ishak Mohamad Khairi⁵^ORCID

Affiliation:

1. School of Computer Science and Engineering, Presidency University, Bengaluru, India

2. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, India

3. S. B. Jain Institute of Technology, Management and Research, Nagpur, India

4. Department of CSE, Alliance University, Bengaluru, India

5. Department of Electrical and Computer Engineering, Ajman University, Ajman, United Arab Emirates

Funder

Ajman University, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10495038.pdf?arnumber=10495038

Reference25 articles.

1. DATA-FedAVG: Delay-Aware Truncated Accuracy-Based Federated Averaging for Intrusion Detection in UAV Network

2. Artificial intelligence applications in intrusion detection systems for unmanned aerial vehicles;Hamadi,2023

3. Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

4. FedIoV: A federated learning-assisted intrusion messages detection in Internet of Vehicles;Zainudin

5. Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning

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