Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network
Abstract In an Internet of Things (IoT) environment, network traffic monitoring tasks are
intractable to achieve due to various IoT traffic types. Recently, the development of Software …
intractable to achieve due to various IoT traffic types. Recently, the development of Software …
Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks
V Ravi, R Chaganti, M Alazab - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
A survey of the literature shows that the number of IoT attacks are gradually growing over the
years due to the growing trend of Internet-enabled devices. Software defined networking …
years due to the growing trend of Internet-enabled devices. Software defined networking …
Traffic management in iot backbone networks using gnn and mab with sdn orchestration
Traffic management is a critical task in software-defined IoT networks (SDN-IoTs) to
efficiently manage network resources and ensure Quality of Service (QoS) for end-users …
efficiently manage network resources and ensure Quality of Service (QoS) for end-users …
[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 …
Attack-Aware IoT network traffic routing leveraging ensemble learning
Q Abu Al-Haija, A Al-Badawi - Sensors, 2021 - mdpi.com
Network Intrusion Detection Systems (NIDSs) are indispensable defensive tools against
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …
TD-RA policy-enforcement framework for an SDN-based IoT architecture
Abstract Internet of Things (IoT) has been suffering from increasing security threats since
many years which compromise the whole network security. Automating the management of …
many years which compromise the whole network security. Automating the management of …
Explainable security in SDN-based IoT networks
AK Sarica, P Angin - Sensors, 2020 - mdpi.com
The significant advances in wireless networks in the past decade have made a variety of
Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily …
Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily …
An intelligent traffic classification in sdn-iot: A machine learning approach
AI Owusu, A Nayak - 2020 IEEE International Black Sea …, 2020 - ieeexplore.ieee.org
In recent years, there has been a sharp increase in IoT devices. Majority of these IoT devices
have strict QoS requirements. This has made it very difficult for network providers to provide …
have strict QoS requirements. This has made it very difficult for network providers to provide …
Low rate DDoS detection using weighted federated learning in SDN control plane in IoT network
The Internet of things (IoT) has opened new dimensions of novel services and computing
power for modern living standards by introducing innovative and smart solutions. Due to the …
power for modern living standards by introducing innovative and smart solutions. Due to the …