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作者:

Zhao, Baohua (Zhao, Baohua.) | An, Ningyu (An, Ningyu.) | Liang, Xiao (Liang, Xiao.) | Ren, Chunhui (Ren, Chunhui.) | Wang, Zhihao (Wang, Zhihao.)

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EI Scopus

摘要:

In order to solve the security issues existed in RFID authentication in recent years. A mutual identity authentication scheme based on dynamic is proposed after describing and analyzing the problems that RFID authentication technology encounters, which can solve replay attack, man-in-the-middle attack and other security issues. In addition, this paper also describes the techno of Authentication technology. The method proposed refers to tags privacy level between Tag and Reader to achieve mutual authentication, it not only can enhance the privacy protection of the label carrier and protect the identity privacy of the Reader holder, but also has a certain effectiveness advantage. © 2018, Springer Nature Switzerland AG.

关键词:

Authentication Data privacy Internet of things Network security Radio frequency identification (RFID)

作者机构:

  • [ 1 ] [Zhao, Baohua]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Baohua]Global Energy Interconnection Research Institute Co., Ltd., Beijing; 102209, China
  • [ 3 ] [Zhao, Baohua]Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), Beijing; 100124, China
  • [ 4 ] [An, Ningyu]Global Energy Interconnection Research Institute Co., Ltd., Beijing; 102209, China
  • [ 5 ] [An, Ningyu]Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), Beijing; 100124, China
  • [ 6 ] [Liang, Xiao]Global Energy Interconnection Research Institute Co., Ltd., Beijing; 102209, China
  • [ 7 ] [Liang, Xiao]Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), Beijing; 100124, China
  • [ 8 ] [Ren, Chunhui]Global Energy Interconnection Research Institute Co., Ltd., Beijing; 102209, China
  • [ 9 ] [Ren, Chunhui]Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), Beijing; 100124, China
  • [ 10 ] [Wang, Zhihao]Global Energy Interconnection Research Institute Co., Ltd., Beijing; 102209, China
  • [ 11 ] [Wang, Zhihao]Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), Beijing; 100124, China

通讯作者信息:

  • [ren, chunhui]global energy interconnection research institute co., ltd., beijing; 102209, china;;[ren, chunhui]artificial intelligence on electric power system state grid corporation joint laboratory (geiri), beijing; 100124, china

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来源 :

ISSN: 0302-9743

年份: 2018

卷: 11344 LNCS

页码: 1-7

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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