[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 …

[HTML][HTML] Enhancing security in Software-Defined Networks: An approach to efficient ARP spoofing attacks detection and mitigation

V Hnamte, J Hussain - Telematics and Informatics Reports, 2024 - Elsevier
Abstract The proliferation of Software-Defined Networks (SDNs) has introduced unparalleled
flexibility and efficiency to network management, but at the same time, it has introduced new …

A Systematic Mapping Study on SDN Controllers for Enhancing Security in IoT Networks

C Oredola, A Ashraf - arXiv preprint arXiv:2408.01303, 2024 - arxiv.org
Context: The increase in Internet of Things (IoT) devices gives rise to an increase in
deceptive manipulations by malicious actors. These actors should be prevented from …

Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks

AM Zacaron, DMB Lent, VG da Silva Ruffo… - Journal of Network and …, 2024 - Springer
Software-defined Networking (SDN) is a modern network management paradigm that
decouples the data and control planes. The centralized control plane offers comprehensive …

[HTML][HTML] Ensemble and Gossip Learning-Based Framework for Intrusion Detection System in Vehicle-to-Everything Communication Environment

MN Ali, M Imran, I Ullah, GM Raza, HY Kim, BS Kim - Sensors, 2024 - mdpi.com
Autonomous vehicles are revolutionizing the future of intelligent transportation systems by
integrating smart and intelligent onboard units (OBUs) that minimize human intervention …

Res2Net-ERNN: deep learning based cyberattack classification in software defined network

M Maddu, YN Rao - Cluster Computing, 2024 - Springer
Software-defined networking (SDN) is known for its enhanced network programmability and
adaptability, but maintaining strong safety precautions to protect against emerging cyber …

A machine learning-based ensemble model for securing the IoT network

R Singh, KP Sharma, LK Awasthi - Cluster Computing, 2024 - Springer
The rapidly growing number of Internet of Things (IoT) devices has led to a rise in data
transfers, which has raised security concerns. Due to the devices' limited processing …

Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing

FL Becerra-Suarez, I Fernández-Roman, MG Forero - Mathematics, 2024 - mdpi.com
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a
fundamental area of research to safeguard the integrity and functionality of organizations' …

[PDF][PDF] Encrypted Cyberattack Detection System over Encrypted IoT Traffic Based on Statistical Intelligence.

IH Ji, JH Lee, S Jeon, JT Seo - CMES-Computer Modeling in …, 2024 - cdn.techscience.cn
In the early days of IoT's introduction, it was challenging to introduce encryption
communication due to the lack of performance of each component, such as computing …

Detection and Mitigation of ICMP-based DDoS in Software Defined Networks

MM Shehabat, MM Shurman - 2024 15th International …, 2024 - ieeexplore.ieee.org
ICMP-based distributed denial of service (DDoS) attacks significantly impact the reliability
and security of software-defined networks (SDN). Our research focuses on efficiently …