An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing

The rapid deployment of the Internet of Drones (IoD) across different fields has brought forth enormous security threats in real-time data communication. To overcome authentication vulnerabilities, this paper introduces a secure lightweight framework integrating deep learning-based user behavior ana...

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Main Authors: Vivek Kumar Pandey, Shiv Prakash, Aditya Ranjan, Sudhanshu Kumar Jha, Xin Liu, Rajkumar Singh Rathore
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Designs
Subjects:
Online Access:https://www.mdpi.com/2411-9660/9/3/61
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author Vivek Kumar Pandey
Shiv Prakash
Aditya Ranjan
Sudhanshu Kumar Jha
Xin Liu
Rajkumar Singh Rathore
author_facet Vivek Kumar Pandey
Shiv Prakash
Aditya Ranjan
Sudhanshu Kumar Jha
Xin Liu
Rajkumar Singh Rathore
author_sort Vivek Kumar Pandey
collection DOAJ
description The rapid deployment of the Internet of Drones (IoD) across different fields has brought forth enormous security threats in real-time data communication. To overcome authentication vulnerabilities, this paper introduces a secure lightweight framework integrating deep learning-based user behavior analysis and cryptographic protocols. The proposed framework is verified through AVISPA security verification against replay, man-in-the-middle, and impersonation attacks. Performance analysis via NS2 simulations based on changing network parameters (5–50 drones, 1–20 users, 2–8 ground stations) validates enhancements in computation overhead, authentication delay, memory usage, power consumption, and communication effectiveness in comparison with recent models such as LDAP, TAUROT, IoD-Auth, and LEMAP, thereby establishing our system as an optimal choice for safe IoD operation.
format Article
id doaj-art-47892a5b060f49f897cd2182fce4062b
institution Kabale University
issn 2411-9660
language English
publishDate 2025-05-01
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series Designs
spelling doaj-art-47892a5b060f49f897cd2182fce4062b2025-08-20T03:26:56ZengMDPI AGDesigns2411-96602025-05-01936110.3390/designs9030061An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep ComputingVivek Kumar Pandey0Shiv Prakash1Aditya Ranjan2Sudhanshu Kumar Jha3Xin Liu4Rajkumar Singh Rathore5Department of Electronics and Communication, University of Allahabad, Prayagraj 211002, IndiaDepartment of Electronics and Communication, University of Allahabad, Prayagraj 211002, IndiaDepartment of Electronics and Communication, University of Allahabad, Prayagraj 211002, IndiaDepartment of Electronics and Communication, University of Allahabad, Prayagraj 211002, IndiaSchool of Engineering Management, Tianjin University, Tianjin 300072, ChinaCardiff School of Technologies, Cardiff Metropolitan University, Cardiff CF5 2YB, UKThe rapid deployment of the Internet of Drones (IoD) across different fields has brought forth enormous security threats in real-time data communication. To overcome authentication vulnerabilities, this paper introduces a secure lightweight framework integrating deep learning-based user behavior analysis and cryptographic protocols. The proposed framework is verified through AVISPA security verification against replay, man-in-the-middle, and impersonation attacks. Performance analysis via NS2 simulations based on changing network parameters (5–50 drones, 1–20 users, 2–8 ground stations) validates enhancements in computation overhead, authentication delay, memory usage, power consumption, and communication effectiveness in comparison with recent models such as LDAP, TAUROT, IoD-Auth, and LEMAP, thereby establishing our system as an optimal choice for safe IoD operation.https://www.mdpi.com/2411-9660/9/3/61internet-connected drones (IoD)cryptography protocolsAVISPA verificationmachine learning securityreal-time authenticationlightweight authentication
spellingShingle Vivek Kumar Pandey
Shiv Prakash
Aditya Ranjan
Sudhanshu Kumar Jha
Xin Liu
Rajkumar Singh Rathore
An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
Designs
internet-connected drones (IoD)
cryptography protocols
AVISPA verification
machine learning security
real-time authentication
lightweight authentication
title An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
title_full An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
title_fullStr An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
title_full_unstemmed An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
title_short An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
title_sort efficient framework for secure communication in internet of drone networks using deep computing
topic internet-connected drones (IoD)
cryptography protocols
AVISPA verification
machine learning security
real-time authentication
lightweight authentication
url https://www.mdpi.com/2411-9660/9/3/61
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