Privacy-preserving machine learning training in IoT aggregation scenarios
In developing smart city, the growing popularity of machine learning (ML) that appreciates
high-quality training data sets generated from diverse Internet-of-Things (IoT) devices raises …
high-quality training data sets generated from diverse Internet-of-Things (IoT) devices raises …
A privacy protection approach in edge-computing based on maximized dnn partition strategy with energy saving
G Chaopeng, L Zhengqing, S Jie - Journal of Cloud Computing, 2023 - Springer
With the development of deep neural network (DNN) techniques, applications of DNNs show
state-of-art performance. In the cloud edge collaborative mode, edge devices upload the raw …
state-of-art performance. In the cloud edge collaborative mode, edge devices upload the raw …
A trusted recommendation scheme for privacy protection based on federated learning
Y Wang, Y Tian, X Yin, X Hei - CCF Transactions on Networking, 2020 - Springer
With the convergence of the era of global news and the era of big data, the daily amount of
news sent to the world is exploding. Users also face the problem of information overloads …
news sent to the world is exploding. Users also face the problem of information overloads …
A survey of machine and deep learning methods for privacy protection in the internet of things
Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …
of smart and interconnected devices facilitating the rapid development of the Internet of …
Secureiiot environment: Federated learning empowered approach for securing iiot from data breach
The growing congruence of gadgets today resulted in a numerous type of cyber attacks. A
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
Privacy preserving data aggregation scheme for mobile edge computing assisted IoT applications
As the rapid development of 5G and Internet of Things (IoT) techniques, more and more
mobile devices with specific sensing capabilities access to the network and large amounts of …
mobile devices with specific sensing capabilities access to the network and large amounts of …
Privacy-aware access control in IoT-enabled healthcare: A federated deep learning approach
The traditional healthcare is overwhelmed by the processing and storage of massive
medical data. The emergence and gradual maturation of Internet-of-Things (IoT) …
medical data. The emergence and gradual maturation of Internet-of-Things (IoT) …
Intrusion detection for secure social internet of things based on collaborative edge computing: a generative adversarial network-based approach
The Social Internet of Things (SIoT) now penetrates our daily lives. As a strategy to alleviate
the escalation of resource congestion, collaborative edge computing (CEC) has become a …
the escalation of resource congestion, collaborative edge computing (CEC) has become a …
Privacy preservation using machine learning in the internet of things
The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …
everything is interconnected, and information exchange has become more easily accessible …
Deep Learning‐Based Privacy‐Preserving Data Transmission Scheme for Clustered IIoT Environment
K Lakshmanna, R Kavitha, BT Geetha… - Computational …, 2022 - Wiley Online Library
The Industrial Internet of Things (IIoT) has received significant attention from several leading
industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part …
industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part …