Enhancing Cybersecurity for UAV Systems: Implementing NIS2 Provisions for Safe Drone Deployment in Albania

Unmanned Aerial Vehicles (UAVs) have become essential tools in both military and civilian applications, from surveillance to infrastructure monitoring. However, their increased use has raised significant cybersecurity concerns, particularly regarding vulnerabilities to cyberattacks such as GPS spoofing, signal jamming, and data link interception. This paper reviews the key cybersecurity challenges facing UAVs and explores mitigation strategies to enhance UAV security, with a focus on potential applications in Albania. Drawing on recent studies, we examine common attack vectors, including man-in-the-middle (MITM) attacks, denial-of-service (DoS) attacks, and unauthorized data interception. These vulnerabilities pose risks not only to the safe operation of UAVs but also to the integrity of the critical infrastructure they monitor. To address these issues, the paper proposes robust encryption protocols, real-time monitoring systems, and the integration of machine learning-based intrusion detection techniques to safeguard UAV communications and operations. Furthermore, this research highlights the importance of aligning UAV security measures with the EU’s NIS2 Directive, offering recommendations on regulatory frameworks tailored to the Albanian context. The findings emphasize the need for a comprehensive approach to UAV cybersecurity, combining technological innovation with stringent regulatory oversight to ensure safe and secure UAV deployment in Albania's rapidly evolving digital landscape.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.19107/cybercon.2024.04
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Cybersecurity for UAV Systems: Implementing NIS2 Provisions for Safe Drone Deployment in Albania

Klorenta PASHAJ, Vilma Tomço
UAV Applications and Optimization
article

Enhancing Cybersecurity for UAV Systems: Implementing NIS2 Provisions for Safe Drone Deployment in Albania

Klorenta PASHAJ, Vilma Tomço
article en

Abstract

Unmanned Aerial Vehicles (UAVs) have become essential tools in both military and civilian applications, from surveillance to infrastructure monitoring. However, their increased use has raised significant cybersecurity concerns, particularly regarding vulnerabilities to cyberattacks such as GPS spoofing, signal jamming, and data link interception. This paper reviews the key cybersecurity challenges facing UAVs and explores mitigation strategies to enhance UAV security, with a focus on potential applications in Albania. Drawing on recent studies, we examine common attack vectors, including man-in-the-middle (MITM) attacks, denial-of-service (DoS) attacks, and unauthorized data interception. These vulnerabilities pose risks not only to the safe operation of UAVs but also to the integrity of the critical infrastructure they monitor. To address these issues, the paper proposes robust encryption protocols, real-time monitoring systems, and the integration of machine learning-based intrusion detection techniques to safeguard UAV communications and operations. Furthermore, this research highlights the importance of aligning UAV security measures with the EU’s NIS2 Directive, offering recommendations on regulatory frameworks tailored to the Albanian context. The findings emphasize the need for a comprehensive approach to UAV cybersecurity, combining technological innovation with stringent regulatory oversight to ensure safe and secure UAV deployment in Albania's rapidly evolving digital landscape.

National Security Authority (CZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
UAV Applications and Optimization
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.