Cyber threat in drone systems: bridging real-time security, legal admissibility, and digital forensic solution readiness

The rapid expansion of drones otherwise known as Unmanned Aerial Vehicles (UAVs), in critical sectors has increased their exposure to cyber threats such as GPS spoofing, command hijacking, and firmware tampering. Existing forensic tools often fail to address UAV-specific challenges like volatile memory and limited storage, hindering effective investigations. Hence, to address this gap, this study proposes the Enhanced UAV Forensic Framework (EUAVFF) a modular, forensic-by-design model integrating blockchain audit trails, secure logging, telemetry offloading, and UAV-friendly encryption. Validated through a literature review and a stakeholder survey (n = 100), results showed that over 70% of respondents lacked awareness of UAV cyber risks, and current drones were rated poorly in key forensic areas, including tamper-proof logging and legal evidence handling. Only 28% were familiar with drone-specific threats, reflecting critical gaps in preparedness.These findings emphasize the urgent need for proactive forensic integration. EUAVFF offers a structured path to secure, accountable, and resilient UAV operations in increasingly hostile cyber environments.

Authors

Institutions

Publication Details

Journal
Frontiers in Communications and Networks
Published
2025-09-24
DOI
https://doi.org/10.3389/frcmn.2025.1661928
Citations
4
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
19.97

Funders

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

Cyber threat in drone systems: bridging real-time security, legal admissibility, and digital forensic solution readiness

Onur Osman, Abiodun Esther Omolara, Oludare Isaac Abiodun, Usman Mohammed et al.
4 citations
Frontiers in Communications and Networks
UAV Applications and Optimization
19.97
article

Cyber threat in drone systems: bridging real-time security, legal admissibility, and digital forensic solution readiness

Onur Osman, Abiodun Esther Omolara, Oludare Isaac Abiodun, Usman Mohammed, Jawad Rasheed, Patricia Manko Lar, Philip Oyadiran Adeyinka, Adeola Grace Olugbenga
article en
4 citations

Abstract

The rapid expansion of drones otherwise known as Unmanned Aerial Vehicles (UAVs), in critical sectors has increased their exposure to cyber threats such as GPS spoofing, command hijacking, and firmware tampering. Existing forensic tools often fail to address UAV-specific challenges like volatile memory and limited storage, hindering effective investigations. Hence, to address this gap, this study proposes the Enhanced UAV Forensic Framework (EUAVFF) a modular, forensic-by-design model integrating blockchain audit trails, secure logging, telemetry offloading, and UAV-friendly encryption. Validated through a literature review and a stakeholder survey (n = 100), results showed that over 70% of respondents lacked awareness of UAV cyber risks, and current drones were rated poorly in key forensic areas, including tamper-proof logging and legal evidence handling. Only 28% were familiar with drone-specific threats, reflecting critical gaps in preparedness.These findings emphasize the urgent need for proactive forensic integration. EUAVFF offers a structured path to secure, accountable, and resilient UAV operations in increasingly hostile cyber environments.

Frontiers in Communications and NetworksVol. 6
İstanbul Sabahattin Zaim Üniversitesi (TR), Applied Science Private University (JO), University of Jos (NG), İstanbul Nişantaşı Üniversitesi (TR), Istanbul Medipol University (TR), University of Abuja Teaching Hospital (NG), Istanbul University (TR), University of Abuja (NG)
Tertiary Education Trust Fund
Openalex Percentile: Top 1%
UAV Applications and Optimization
19.97
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.