DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

A Survey on Trust Management in Flying Ad Hoc Networks: Challenges, Classifications, and Analysis

S Benfriha, N Labraoui, HB Salameh… - … on Software Defined …, 2023 - ieeexplore.ieee.org
Flying Ad Hoc Networks (FANETs) have emerged as a transformative technology, offering
versatile applications across surveillance, communication, disaster relief, and more …

[PDF][PDF] Machine learning driven threat identification to enhance fanet security using genetic algorithm

S Gupta, N Sharma - The International Arab Journal of Information …, 2024 - iajit.org
Emerging as a highly promising technology, Flying Ad-hoc Networks represent self-
organizing networks of Unmanned Aerial Vehicles (UAVs), garnering attention for their …

Unmanned aerial vehicle

B Singh, C Kaunert - Cognitive Machine Intelligence …, 2024 - books.google.com
Unmanned aerial vehicles (UAVs), or drones as they are more often known, have brought
about a new era of technological innovation and industry transformation. Among these …

Detecting Denial of Service Attacks (DoS) over the Internet of Drones (IoD) Based on Machine Learning.

A Alsumayt, N Nagy, S Alsharyofi, N Al Ibrahim… - Sci, 2024 - search.ebscohost.com
Abstract The use of Unmanned Aerial Vehicles (UAVs) or drones has increased lately. This
phenomenon is due to UAVs' wide range of applications in fields such as agriculture …

[PDF][PDF] Improving Intrusion Detection in UAV Communication Using an LSTM-SMOTE Classification Method

AM Abdulghani, MM Abdulghani… - Journal of …, 2022 - researchgate.net
Unmanned Aerial Vehicles (UAVs) proliferate quickly and play a significant part in crucial
tasks, so it is important to protect the security and integrity of UAV communication channels …

ML-based Intrusion Detection for Drone IoT Security.

A Al-Fuwaiers, S Mishra - Journal of Cybersecurity & …, 2024 - search.ebscohost.com
The integration of drones into various industries brings about cybersecurity challenges due
to their reliance on internet connectivity. To address this, we propose a comprehensive …

Flamingo search algorithm with optimal deep learning for automated cyber threat detection in IoT environments

MM Asiri - 4th International Conference on Distributed Sensing …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) networks are prone to cyber attacks because of insecure wireless
infrastructures, various kinds of IoT devices, large quantities of data transfer by sensors over …

Unmanned aerial vehicle: Integration in healthcare sector for transforming interplay among smart cities

B Singh, C Kaunert - Cognitive Machine Intelligence - taylorfrancis.com
Unmanned aerial vehicle (UAV) integration in the healthcare industry has the potential to
trigger revolutionary shifts in how smart cities interact with one another. Because of their …

A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification

B Pillai, SJS Sodhi - International Journal of Software …, 2023 - computers.journalspub.info
Airline delays are a major cause of the financial losses that plague the global aviation
business. Airports, airlines, and passengers all suffer when flights are delayed. Their …