Achieving dynamic privacy measurement and protection based on reinforcement learning for mobile edge crowdsensing of IoT
With the maturity and development of 5G field, Mobile Edge CrowdSensing (MECS), as an intelligent data collection paradigm, provides a broad prospect for various applications in IoT. However, sensing users as data uploaders lack a balance between data benefits and privacy threats, leading to conserv...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
KeAi Communications Co., Ltd.
2024-04-01
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| Serie: | Digital Communications and Networks |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2352864822001614 |
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