Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system
The advancement of Internet of Things (IoT) technologies leads to a wide penetration and
large-scale deployment of IoT systems across an entire city or even country. While IoT …
large-scale deployment of IoT systems across an entire city or even country. While IoT …
Uav-assisted task offloading for iot in smart buildings and environment via deep reinforcement learning
J Xu, D Li, W Gu, Y Chen - Building and Environment, 2022 - Elsevier
With the rapid development of Internet of Things (IoT) techniques, IoT devices with sensors
have been widely deployed and used in smart buildings and environment, and the …
have been widely deployed and used in smart buildings and environment, and the …
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
The main challenges of the energy consumption forecasting problem are the concerns for
reliability, stability, efficiency and accuracy of the forecasting methods. The existing …
reliability, stability, efficiency and accuracy of the forecasting methods. The existing …
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …
which is playing an increasingly indispensable role in modern intelligent applications. These …
Dynamic energy efficient task offloading and resource allocation for noma-enabled iot in smart buildings and environment
K Li, J Zhao, J Hu, Y Chen - Building and Environment, 2022 - Elsevier
Abstract Nowadays, the Internet of Things (IoT) devices are widely deployed and applied in
smart buildings and environment, and play an important part in people's daily life. With more …
smart buildings and environment, and play an important part in people's daily life. With more …
Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles
Mobile network operators (MNOs) allocate computing and caching resources for mobile
users by deploying a central control system. Existing studies mainly use programming and …
users by deploying a central control system. Existing studies mainly use programming and …
[HTML][HTML] A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance
Abstract Supply Chain Finance (SCF) refers to the financial service in which banks rely on
core enterprises to manage the capital flow and logistics of upstream and downstream …
core enterprises to manage the capital flow and logistics of upstream and downstream …
Scientific workflows in IoT environments: a data placement strategy based on heterogeneous edge-cloud computing
In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud
computing paradigm can provide a more proper solution to deploy scientific workflows …
computing paradigm can provide a more proper solution to deploy scientific workflows …
Collaborative deep learning framework on IoT data with bidirectional NLSTM neural networks for energy consumption forecasting
Energy consumption forecasting based on IoT data and deep learning algorithm inheriting
distributed and collaborative learning is a widely studied topic both in engineering and …
distributed and collaborative learning is a widely studied topic both in engineering and …
Federated learning for IoMT applications: a standardisation and benchmarking framework of intrusion detection systems
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …