Risks of Drone Use in Light of Literature Studies
This article aims to present the results of a bibliometric analysis of relevant literature and
discuss the main research streams related to the topic of risks in drone applications. The …
discuss the main research streams related to the topic of risks in drone applications. The …
Systematic literature review on intrusion detection systems: Research trends, algorithms, methods, datasets, and limitations
MM Issa, M Aljanabi, HM Muhialdeen - Journal of Intelligent Systems, 2024 - degruyter.com
Abstract Machine learning (ML) and deep learning (DL) techniques have demonstrated
significant potential in the development of effective intrusion detection systems. This study …
significant potential in the development of effective intrusion detection systems. This study …
Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system
S Miao, Q Pan, D Zheng - Vehicular Communications, 2024 - Elsevier
Abstract The UAV (Unmanned Aerial Vehicles) is an automatic aircraft, widely used several
applications like emergency management, wildlife conservation, forestry, aerial …
applications like emergency management, wildlife conservation, forestry, aerial …
Detecting Unbalanced Network Traffic Intrusions with Deep Learning
S Pavithra, KV Vikas - IEEE Access, 2024 - ieeexplore.ieee.org
The growth of cyber threats demands a robust and adaptive intrusion detection system (IDS)
capable of effectively recognizing malicious activities from network traffic. However, the …
capable of effectively recognizing malicious activities from network traffic. However, the …
A novel intrusion detection system based on artificial neural network and genetic algorithm with a new dimensionality reduction technique for UAV communication
Unmanned aerial vehicles (UAVs) are increasingly being deployed in crucial missions for
the armed forces, law enforcement, industrial control monitoring, and other sectors …
the armed forces, law enforcement, industrial control monitoring, and other sectors …