Minimizing overhead using efficient PUF-based authentication in flying ad hoc networks

High-mobility and low-computation resource UAVs are the basic units of what are called Flying Ad Hoc Networks (FANETs), which are prone to abuse and subject to wireless threats. Therefore, secure and efficient communication protocols are needed to guarantee the safety of information exchange. Traditional cryptographic solutions are not suitable due to the high resource demands expected from UAV platforms. In order to mitigate this challenge, this paper presents an improved lightweight authentication scheme based on Physically Unclonable Functions (PUFs) with the goal of reducing the communication and computation overhead in FANET systems. The proposed protocol utilizes index-based challenge–response pair (CRP) referencing along with optimized XOR-based session key generation and lightweight hash primitives to provide secure mutual authentication of UAVs and ground stations. It also provides scalability features such as UAV–UAV authentication through the ground station and group-based authentication for swarm UAV deployments. Our security analysis proves the resistance to replay, impersonation, and man-in-the-middle attacks, and performance evaluation shows that our scheme reduces communication overhead by 27% and computational cost by 30% compared to the existing schemes. This enables the proposed protocol to become a real-time and resource-constrained protocol that works with aerial networks.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Research and Scientific Studies
Published
2025-04-16
DOI
https://doi.org/10.53894/ijirss.v8i2.6246
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Minimizing overhead using efficient PUF-based authentication in flying ad hoc networks

Mohammed Yousif, ‪Mahmood A. Al-Shareeda‬‏, Mohammed Amin Almaiah, Nazik K. Aljbur et al.
International Journal of Innovative Research and Scientific Studies
Adversarial Robustness in Machine Learning
article

Minimizing overhead using efficient PUF-based authentication in flying ad hoc networks

Mohammed Yousif, ‪Mahmood A. Al-Shareeda‬‏, Mohammed Amin Almaiah, Nazik K. Aljbur, Mansour Obeida
article en

Abstract

High-mobility and low-computation resource UAVs are the basic units of what are called Flying Ad Hoc Networks (FANETs), which are prone to abuse and subject to wireless threats. Therefore, secure and efficient communication protocols are needed to guarantee the safety of information exchange. Traditional cryptographic solutions are not suitable due to the high resource demands expected from UAV platforms. In order to mitigate this challenge, this paper presents an improved lightweight authentication scheme based on Physically Unclonable Functions (PUFs) with the goal of reducing the communication and computation overhead in FANET systems. The proposed protocol utilizes index-based challenge–response pair (CRP) referencing along with optimized XOR-based session key generation and lightweight hash primitives to provide secure mutual authentication of UAVs and ground stations. It also provides scalability features such as UAV–UAV authentication through the ground station and group-based authentication for swarm UAV deployments. Our security analysis proves the resistance to replay, impersonation, and man-in-the-middle attacks, and performance evaluation shows that our scheme reduces communication overhead by 27% and computational cost by 30% compared to the existing schemes. This enables the proposed protocol to become a real-time and resource-constrained protocol that works with aerial networks.

International Journal of Innovative Research and Scientific StudiesVol. 8(2)
University of Jordan (JO), University of Al Maarif (IQ), King Faisal University (SA)
King Faisal University
Openalex Percentile: Top 97%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Minimizing overhead using efficient PUF-based authentication in flying ad hoc networks — Mohammed Yousif, ‪Mahmood A. Al-Shareeda‬‏, et al. · International Journal of Innovative Research and Scientific Studies (2025) | TGRS Research Map | TGRS