Open-Set Recognition in Unknown DDoS Attacks Detection with Reciprocal Points Learning

CS Shieh, FA Ho, MF Horng, TT Nguyen… - IEEE …, 2024 - ieeexplore.ieee.org
The internet, a cornerstone of modern life, has profound implications across personal,
business, and society. However, its widespread use has posed challenges, especially …

Detection of Real-Time Distributed Denial-of-Service (DDoS) Attacks on Internet of Things (IoT) Networks Using Machine Learning Algorithms.

Z Mahdi, N Abdalhussien… - … , Materials & Continua, 2024 - search.ebscohost.com
The primary concern of modern technology is cyber attacks targeting the Internet of Things.
As it is one of the most widely used networks today and vulnerable to attacks. Real-time …

Hybrid Classifier for Detecting Zero-Day Attacks on IoT Networks

RM Zaki, IS Naser - Mesopotamian Journal of CyberSecurity, 2024 - mesopotamian.press
Abstract Recently, Internet of Things (IoT) networks have been exposed to many electronic
attacks, giving rise to concerns about the security of these networks, where their …

[HTML][HTML] Simulation-based evaluation of advanced threat detection and response in financial industry networks using zero trust and blockchain technology

C Daah, A Qureshi, I Awan, S Konur - Simulation Modelling Practice and …, 2025 - Elsevier
The financial sector is increasingly facing advanced cyber threats, necessitating a shift from
traditional security measures to more dynamic frameworks. This study presents a novel …

[HTML][HTML] The Guardian Node Slow DoS Detection Model for Real-Time Application in IoT Networks

A Reed, L Dooley, SK Mostefaoui - Sensors, 2024 - mdpi.com
The pernicious impact of malicious Slow DoS (Denial of Service) attacks on the application
layer and web-based Open Systems Interconnection model services like Hypertext Transfer …

[PDF][PDF] Security in the Internet of Things: Identifying and Analysing Critical Categories

H Sebestyen, DE Popescu, RD Zmaranda - 2024 - preprints.org
With the proliferation of IoT-based applications, security requirements are becoming
increasingly stringent. Given the diversity of such systems, choosing the most appropriate …

Liquid NeurIoTic: Liquid Neural Network-Based Intrusion Detection System for Internet of Things in Healthcare Networks

JM Kramarczyk - 2024 - search.proquest.com
Over 249.09 million individuals were affected by healthcare cyberattacks between 2005 and
2019. Alarmingly, a 95% probability exists that distributed denial-of-service (DDoS) attacks …

Collaborative Defense Method Against DDoS Attacks on SDN-Architected Cloud Servers

Y Zhang, Y Xu, L Han, K Liang, W Li - International Conference on …, 2024 - Springer
Addresses excessive control layer load in traditional DDoS detection/defense in cloud SDN.
It proposes an efficient collaborative defense using P4 to offload traffic processing to the …