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Blockchain-Based Auditable Privacy-Preserving Data Classification for Internet of Things
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) connects massive physical devices to capture and collect useful data, which are used to make accurate decisions by taking advantage of the machine learning techniques. However, the collected data ...
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ...
Privacy-Aware Collaborative Task Offloading in Fog Computing
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Numerous new applications have been proliferated with the mature of 5G, which generates a large number of latency-sensitive and computationally intensive mobile data requests. The real-time requirement of these mobile data ...
A Demand-Driven Incremental Deployment Strategy for Edge Computing in IoT Network
(
IEEE Computer Society
, 2022 , Article)
Edge Computing brings great opportunities to enable the Internet of Things (IoT) vision. But the physical edge server deployment problem still poses a major challenge, which dramatically affects the service ability and ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
(
Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...