[HTML][HTML] Ensemble machine learning approach for classification of IoT devices in smart home
The emergence of the Internet of Things (IoT) concept as a new direction of technological
development raises new problems such as valid and timely identification of such devices …
development raises new problems such as valid and timely identification of such devices …
Network abnormal traffic detection model based on semi-supervised deep reinforcement learning
The rapid development of Internet technology has brought great convenience to our
production life, and the ensuing security problems have become increasingly prominent …
production life, and the ensuing security problems have become increasingly prominent …
QoS‐aware IoT networks and protocols: A comprehensive survey
The vast number of smart cloud applications that communicate with the “things” over a
variety of physical networks and communication protocols contribute to the rise of complexity …
variety of physical networks and communication protocols contribute to the rise of complexity …
QoE-driven IoT architecture: a comprehensive review on system and resource management
B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …
service providers (SPs) are emerging in the market and competing to offer their services …
Digital-twin-enabled intelligent distributed clock synchronization in industrial IoT systems
Tight cooperation among distributively connected equipment and infrastructures of an
Industrial-Internet-of-Things (IIoT) system hinges on low latency data exchange and …
Industrial-Internet-of-Things (IIoT) system hinges on low latency data exchange and …
Transfer reinforcement learning aided distributed network slicing optimization in industrial IoT
With the growth of the number of Internet of Things (IoT) devices and the emergence of new
applications, satisfying distinct QoS in the same physical network becomes more …
applications, satisfying distinct QoS in the same physical network becomes more …
Novel approach for detection of IoT generated DDoS traffic
The problem of detecting anomalies in network traffic caused by the distributed denial of
service (DDoS) attack so far has mainly been investigated in terms of detection of illegitimate …
service (DDoS) attack so far has mainly been investigated in terms of detection of illegitimate …
Massive data storage solution for IoT devices using blockchain technologies
The Internet of Things (IoT) concept involves connecting devices to the internet and forming
a network of objects that can collect information from the environment without human …
a network of objects that can collect information from the environment without human …
Novel classification of IoT devices based on traffic flow features
Abstract The concept of IoT (Internet of Things) assumes a continuous increase in the
number of devices, which raises the problem of classifying them for different purposes …
number of devices, which raises the problem of classifying them for different purposes …
Cooperative task offloading for mobile edge computing based on multi-agent deep reinforcement learning
J Yang, Q Yuan, S Chen, H He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driven by the prevalence of the computation-intensive and delay-intensive mobile
applications, Mobile Edge Computing (MEC) is emerging as a promising solution …
applications, Mobile Edge Computing (MEC) is emerging as a promising solution …