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A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
A survey on handover and mobility management in 5G HetNets: current state, challenges, and future directions
Fifth-generation (5G) networks offer high-speed data transmission with low latency,
increased base station volume, improved quality of service (QoS), and massive multiple …
increased base station volume, improved quality of service (QoS), and massive multiple …
SDN security review: Threat taxonomy, implications, and open challenges
Software-Defined networking (SDN) is a networking paradigm to enable dynamic, flexible,
and programmatically efficient configuration of networks to revolutionize network control and …
and programmatically efficient configuration of networks to revolutionize network control and …
[HTML][HTML] CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMT
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 …
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 …
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
Toward generating a new cloud-based Distributed Denial of Service (DDoS) dataset and cloud intrusion traffic characterization
The distributed denial of service attack poses a significant threat to network security. Despite
the availability of various methods for detecting DDoS attacks, the challenge remains in …
the availability of various methods for detecting DDoS attacks, the challenge remains in …
An analysis of blockchain-based iot sensor network distributed denial of service attacks
The Internet of Things (IoT) and blockchain are emerging technologies that have attracted
attention in many industries, including healthcare, automotive, and supply chain. IoT …
attention in many industries, including healthcare, automotive, and supply chain. IoT …
A comprehensive analysis of machine learning-and deep learning-based solutions for DDoS attack detection in SDN
Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …
efficiency compared to traditional networks. These are owing to the SDN's mutual …
Abnormal traffic detection system in SDN based on deep learning hybrid models
K Wang, Y Fu, X Duan, T Liu, J Xu - Computer communications, 2024 - Elsevier
Software defined network (SDN) provides technical support for network construction of smart
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
Routing-based interference mitigation in SDN enabled beyond 5G communication networks: A comprehensive survey
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 …
Quality of Service (QoS) through enhanced Mobile Broadband (eMBB), Ultra-Reliable Low …