A comprehensive survey on artificial intelligence for unmanned aerial vehicles

S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …

Impact of dataset and model parameters on machine learning performance for the detection of GPS spoofing attacks on unmanned aerial vehicles

T Talaei Khoei, S Ismail, KA Shamaileh… - Applied Sciences, 2022 - mdpi.com
GPS spoofing attacks are a severe threat to unmanned aerial vehicles. These attacks
manipulate the true state of the unmanned aerial vehicles, potentially misleading the system …

Recent Advances on Jamming and Spoofing Detection in GNSS

K Radoš, M Brkić, D Begušić - Sensors, 2024 - mdpi.com
Increased interest in the development and integration of navigation and positioning services
into a wide range of receivers makes them susceptible to a variety of security attacks such as …

Loan eligibility prediction using machine learning based on personal information

M Meenaakumari, P Jayasuriya… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Banks serves the basic necessities of everyone next to hospitals and schools. People reach
out to banks for various purposes. But one of the most common services offered by banks is …

Densely connected neural networks for detecting denial of service attacks on smart grid network

TT Khoei, N Kaabouch - 2022 IEEE 13th Annual Ubiquitous …, 2022 - ieeexplore.ieee.org
Smart grid has several benefits, including efficiency and reliability. However, this network is
prone to several cyber-attacks and has limited security. One of the main damaging attacks …

Assessment and classification of grid stability with cost-sensitive stacked ensemble classifier

K Ramasamy, A Sundaramurthy… - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak Smart Grid is an intelligent power grid with a bidirectional flow of electricity and
information, that applies intelligent techniques to operate the grid autonomously near the …

Supervised deep learning models for detecting GPS spoofing attacks on unmanned aerial vehicles

TT Khoei, G Aissou, K Al Shamaileh… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Networks (UAVs) are prone to several cyber-atttacks, including Global
Positioining Spoofing attacks. For this purpose, numerous studies have been conducted to …

GPS spoofing on UAV: A survey

RD Restivo, LC Dodson, J Wang, W Tan… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Things (IoT) and Cyber-Physical System (CPS),
Unmanned Aerial Vehicles (UAVs) are deployed in various implementations which improve …

QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs

P Wang, Z Yang, N Yang, Z Wang, J Li, F Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Safety-critical intelligent cyber-physical systems, such as quadrotor unmanned aerial
vehicles (UAVs), are vulnerable to different types of cyber attacks, and the absence of timely …

A Comparative Assessment of Unsupervised Deep Learning Models for Detecting GPS Spoofing Attacks on Unmanned Aerial Systems

TT Khoei, K Al Shamaileh… - 2024 Integrated …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAV) are prone to cyber threats, including Global Positioning
System (GPS) spoofing attacks. Several studies have been performed to detect and classify …