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Breaking the Performance Gap of Fully and Semi-Supervised Learning in Electromagnetic Signature Recognition

  • 【作者】Wang, Haozhi, Wang, Qing, Chen, Luyong, Fu, Guanyang, Liu, Xiaofeng, Dong, Zhicheng, Panayirci, Erdal
  • 【作者单位】1School of Electrical and Information Engineering, Tianjin University, Tianjin, China;2School of Information Science and Technology, Tibet University, Lasha, China;3Department of Electrical and Electronics Engineering, Kadir Has University, Istanbul, Turkey
  • 【年份】2023
  • 【页码】1
  • 【摘要】 Intelligent electromagnetic signature recognition is one of the key technologies in Internet-of-Things device connection, which can improve system security and speed up the authentication process. In practical scenarios, as the number of IoT devices...
  • 【文献类型】 期刊
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