Adaptive epsilon greedy reinforcement learning method in securing IoT devices in edge computing
Abstract Attacks on IoT devices are increasing day by day. Since IoT devices nowadays have become an integral part of our daily lives, the data gathered from IoT devices benefits intruders in many ways. Financial and Healthcare institutions also allow their customers to use their services by using h...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2024-11-01
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| Serie: | Discover Internet of Things |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s43926-024-00080-7 |
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