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Deep Reinforcement Learning for Attacking Wireless Sensor Networks
Recent advances in Deep Reinforcement Learning allow solving increasingly complex problems. In this work, we show how current defense mechanisms in Wireless Sensor Networks are vulnerable to attacks that use these advances. We use a Deep Reinforcement Learning attacker architecture that allows havin...
Enregistré dans:
| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8231574/ https://ncbi.nlm.nih.gov/pubmed/34204726 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21124060 |
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