An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
Feature engineering and machine learning framework for DDoS attack detection in the standardized internet of things
Over the past decade, there has been huge rise in the number of Internet of Things (IoT)
devices and networks often characterized by resource constraints on energy, memory …
devices and networks often characterized by resource constraints on energy, memory …
SDN and application layer DDoS attacks detection in IoT devices by attention‐based Bi‐LSTM‐CNN
Abstract The Internet of Things (IoT) is connecting more devices every day. Security is critical
to ensure that the devices operate in a trusted environment. The lack of proper IoT security …
to ensure that the devices operate in a trusted environment. The lack of proper IoT security …
[PDF][PDF] Low-rate DDoS attack detection using deep learning for SDN-enabled IoT networks
AA Alashhab, MSM Zahid… - International …, 2022 - pdfs.semanticscholar.org
Software Defined Networks (SDN) can logically route traffic and utilize underutilized network
resources, which has enabled the deployment of SDN-enabled Internet of Things (IoT) …
resources, which has enabled the deployment of SDN-enabled Internet of Things (IoT) …
FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …
security and privacy concerns more acute. Attacks such as distributed denial of service …
[HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Abstract The Internet of Things (IoT) is a complex and diverse network consisting of resource-
constrained sensors/devices/things that are vulnerable to various security threats …
constrained sensors/devices/things that are vulnerable to various security threats …
SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
NM Yungaicela-Naula, C Vargas-Rosales… - IEEE …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
Analysis of machine learning classifiers for early detection of DDoS attacks on IoT devices
Distributed denial-of-service attacks are still difficult to handle as per current scenarios. The
attack aim is a menace to network security and exhausting the target networks with …
attack aim is a menace to network security and exhausting the target networks with …
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 …
Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks
With the rapid growth of informatics systems' technology in this modern age, the Internet of
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …