[HTML][HTML] Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art …

M Ouhssini, K Afdel, M Akouhar, E Agherrabi… - Egyptian Informatics …, 2024 - Elsevier
This comprehensive study examines cutting-edge strategies for combating Distributed
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …

Machine-learning-enabled ddos attacks detection in p4 programmable networks

F Musumeci, AC Fidanci, F Paolucci, F Cugini… - Journal of Network and …, 2022 - Springer
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …

An intelligent native network slicing security architecture empowered by federated learning

R Moreira, RS Villaça, MRN Ribeiro… - Future Generation …, 2025 - Elsevier
Network Slicing (NS) has transformed the landscape of resource sharing in networks,
offering flexibility to support services and applications with highly variable requirements in …

Towards resource-efficient DDoS detection in IoT: leveraging feature engineering of system and network usage metrics

N Gavric, G Prasad Bhandari, A Shalaginov - Journal of Network and …, 2024 - Springer
Abstract The Internet of Things (IoT) is omnipresent, exposing a large number of devices that
often lack security controls to the public Internet. In the modern world, many everyday …

AntibotV: A multilevel behaviour-based framework for botnets detection in vehicular networks

R Rahal, A Amara Korba, N Ghoualmi-Zine… - Journal of Network and …, 2022 - Springer
Connected cars offer safety and efficiency for both individuals and fleets of private vehicles
and public transportation companies. However, equip** vehicles with information and …

[HTML][HTML] A secure mist-fog-assisted cooperative offloading framework for sustainable smart city development

SS Tripathy, S Bebortta, MA Mohammed… - Digital Communications …, 2024 - Elsevier
Practical applications of smart cities and the Internet of Things (IoT) have multiplied, posing
many difficulties in network performance, dependability, and security. Concerns of …

Multi-domain collaborative two-level DDoS detection via hybrid deep learning

H Feng, W Zhang, Y Liu, C Zhang, C Ying, J **… - Computer Networks, 2024 - Elsevier
In this paper, we investigate the problem of multiple network domains being threatened by
Distributed Denial-of-Service (DDoS) attacks, in which a DDoS attack detection scheme is …

DDoS attack detection in cloud using ensemble model tuned with optimal hyperparameter

KB Reddy, S Meera - … Journal of Adaptive Control and Signal …, 2024 - Wiley Online Library
DDoS attacks are a type of cloud incursion that lessen service degradation. DDoS attacks
target the cloud network with invalid requests, rejecting legitimate requests. Such attacks …

[PDF][PDF] Machine learning-based feature engineering to detect ddos attacks

MN Faiz, O Somantri… - Jurnal Nasional Teknik …, 2022 - scholar.archive.org
Distributed network attacks, also known as distributed denial of service (DDoS) are a major
threat and problem for internet security. DDoS is an attack on a network aiming to disable …

Rekayasa Fitur Berbasis Machine Learning untuk Mendeteksi Serangan DDoS

MN Faiz, O Somantri… - Jurnal Nasional Teknik …, 2022 - journal.ugm.ac.id
Distributed network attacks, also known as distributed denial of service (DDoS) are a major
threat and problem for internet security. DDoS is an attack on a network aiming to disable …