Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics

SO Ajakwe, DS Kim - IET Intelligent Transport Systems, 2024 - Wiley Online Library
The use of unmanned aerial vehicles (UAVs) for smart and speedy logistics is still relatively
nascent compared to traditional delivery methods. However, it is witnessing sporadic and …

Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture

MAO Rabah, H Drid, Y Medjadba, M Rahouti - IEEE Access, 2024 - ieeexplore.ieee.org
The combination of Software-Defined Networking (SDN) with Unmanned Aerial Vehicles
(UAVs) has transformed wireless communication and data transmission. However, this …

[HTML][HTML] Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI

V Vajrobol, GJ Saxena, S Singh, A Pundir… - Alexandria Engineering …, 2025 - Elsevier
The increasing use of Automatic Dependent Surveillance-Broadcast (ADS-B) technology in
flight control systems has created many serious concerns. These weaknesses threaten the …

[PDF][PDF] Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges.

A Adel, T Jan - Future Internet, 2024 - researchgate.net
In the rapidly evolving landscape of drone technology, securing unmanned aerial vehicles
(UAVs) presents critical challenges and demands unique solutions. This paper offers a …

Dense Capsule Stacked Auto-Encoder Model based DDoS Attack Detection and Hybrid Optimal Bandwidth Allocation with Routing in VANET Environment

MK Tanati, M Ponnusamy - Vehicular Communications, 2025 - Elsevier
The vehicle ad hoc network, or VANET, is a fantastic tool for smart transport since it improves
efficiency, management, traffic safety, and comfort. Distributed Denial of Service (DDoS) …

Disorder Detection on EEG Signals and Brain Images Using a Hybrid Approach of Combining the Convolutional Neural Network and Artificial Neural Network (CANN)

R Prabu, V Darvin, C Monish… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Managing brain illnesses effectively requires early and precise diagnosis, which presents
major obstacles to health care. Electroencephalography (EEG) signals are a vital source of …

Security of Unmanned Aerial Vehicles

R Butt, T Rehman, N Tariq, M Ashraf… - … Issues and Challenges …, 2024 - igi-global.com
The use of drones, also known as unmanned aerial vehicles (UAVs), has significantly
transformed multiple industries by providing innovative solutions. The capability of drones to …

Future Trends and Emerging Threats in Drone Cybersecurity

SR Sindiramutty, NZ Jhanjhi, CE Tan… - … Issues and Challenges …, 2024 - igi-global.com
The rapid proliferation of drone technology has ushered in a new era of innovation and
convenience across various industries. However, this technological advancement has also …

Ethical Considerations in Drone Cybersecurity

SR Sindiramutty, CE Tan, B Shah, NA Khan… - … Issues and Challenges …, 2024 - igi-global.com
The rapid proliferation of drones, coupled with their increasing integration into various
aspects of our lives, has brought to the forefront a myriad of ethical considerations in the …

Securing UAV Communications with Homomorphic Encryption and Key Regeneration: A Model Checking Approach.

MY Alzahrani - International Journal of Advances in Soft …, 2024 - search.ebscohost.com
Abstract Unmanned Aerial Vehicles (UAVs) are at the centre of multiple applications across
various fields, including delivery, disaster response, and surveillance. However, its use of …