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What is Privacy-Preserving IoT Data Sharing Strategies about?

This document summarizes a research paper that proposes evolutionary privacy-preserving learning strategies for edge-based Internet of Things (IoT) data sharing schemes. The paper introduces evolutionary game theory to model interactions between IoT devices and edge nodes, where each aims to maximize its own payoff. An algorithm is developed to derive optimal evolutionary learning strategies. Numerical simulations examine evolutionarily stable strategies, and experimental results verify the proposed model c

Author

Roxana Stan

Language

EN