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Fine-Grained and Flexible Dual Authentication for IoT-Connected Healthcare Sensor Networks
You are already at the latest version IoT-connected healthcare sensor networks require authenticated and privacy-preserving data exchange among wearable sensors, mobile medical terminals, edge gateways, cloud servers, and medical institutions. Existing authentication schemes for healthcare IoT often bind signatures directly to user identities, exposing sensitive personal or institutional information and imposing heavy verification costs on resource-constrained sensing devices.
DFB-PPGSQ: Dynamic Forward/Backward-Private Graph Similarity Matching Query over Encrypted Sensor Graph Databases
You are already at the latest version Sensor-network, Internet of Things, industrial-monitoring, and cyber-physical security graphs are increasingly outsourced to clouds, where similarity search should be supported without exposing graph content, query graphs, update contents, or database evolution. Existing privacy-preserving graph similarity schemes mainly target static encrypted databases and therefore handle insertions, deletions, label updates, and long-running index maintenance poorly.
Effect of Pre-Deformation on the Microstructure and Precipitation Behavior of Spray-Formed 7xxx Series Aluminum Alloys
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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