A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking

AA Bahashwan, M Anbar, S Manickam, TA Al-Amiedy… - Sensors, 2023 - mdpi.com
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …

Routing-based interference mitigation in SDN enabled beyond 5G communication networks: A comprehensive survey

SHA Kazmi, F Qamar, R Hassan, K Nisar - IEEE Access, 2023 - ieeexplore.ieee.org
The outright aim of Beyond Fifth Generation (B5G) communication is to bring a revolution in
Quality of Service (QoS) through enhanced Mobile Broadband (eMBB), Ultra-Reliable Low …

SDN security review: Threat taxonomy, implications, and open challenges

M Rahouti, K Xiong, Y Xin… - IEEE …, 2022 - ieeexplore.ieee.org
Software-Defined networking (SDN) is a networking paradigm to enable dynamic, flexible,
and programmatically efficient configuration of networks to revolutionize network control and …

[HTML][HTML] CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMT

S Dadkhah, ECP Neto, R Ferreira, RC Molokwu… - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) is increasingly integrated into daily life, particularly in
healthcare, through the Internet of Medical Things (IoMT). IoMT devices support services like …

A DDoS detection method based on feature engineering and machine learning in software-defined networks

Z Liu, Y Wang, F Feng, Y Liu, Z Li, Y Shan - Sensors, 2023 - mdpi.com
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …

A survey on handover and mobility management in 5G HetNets: current state, challenges, and future directions

Y Ullah, MB Roslee, SM Mitani, SA Khan, MH Jusoh - Sensors, 2023 - mdpi.com
Fifth-generation (5G) networks offer high-speed data transmission with low latency,
increased base station volume, improved quality of service (QoS), and massive multiple …

An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with …

MA Setitra, M Fan… - Transactions on Emerging …, 2023 - Wiley Online Library
The growing popularity of Software Defined Networks (SDN) and the Internet of Things (IoT)
has led to the emergence of Software Defined Internet of Things (SDIoT) based on …

Ciciomt2024: Attack vectors in healthcare devices-a multi-protocol dataset for assessing iomt device security

S Dadkhah, ECP Neto, R Ferreira, RC Molokwu… - 2024 - preprints.org
Abstract The Internet of Things (IoT) has a growing presence in society's daily lives. These
lightweight devices can be easily deployed and maintained, enabling extensive adoption in …

Cybersecurity and privacy in smart bioprinting

JC Isichei, S Khorsandroo, S Desai - Bioprinting, 2023 - Elsevier
Bioprinting is a versatile technology which is gaining rapid adoption in healthcare fields
such as tissue engineering, regenerative medicine, drug delivery, and surgical planning …

[HTML][HTML] AIMM: Artificial intelligence merged methods for flood DDoS attacks detection

A Jaszcz, D Połap - Journal of King Saud University-Computer and …, 2022 - Elsevier
DDoS is one of the most common attacks on the web today. Hence, a quick detection system
can enable automatic blocking or notification of an attack. In this paper, we propose a …