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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • [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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Source :

ISSN: 0302-9743

Year: 2018

Volume: 11344 LNCS

Page: 1-7

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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