Deep learning based RF fingerprinting for device identification and wireless security

Qingyang Wu,Carlos Feres, Daniel Kuzmenko,Ding Zhi,Zhou Yu,Xin Liu, Xiaoguang ‘Leo’ Liu

Electronics Letters(2018)

引用 68|浏览32
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摘要
RF fingerprinting is an emerging technology for identifying hardware-specific features of wireless transmitters and may find important applications in wireless security. In this study, the authors present a new RF fingerprinting scheme using deep neural networks. In particular, a long short-term memory based recurrent neural network is proposed and used for automatically identifying hardware-speci...
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关键词
learning (artificial intelligence),radio transmitters,recurrent neural nets,telecommunication security,wireless channels
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