RFID system with fairness within the framework of security and privacy

Jin Kwak, Keunwoo Rhee, Soohyun Oh, Seungjoo Kim, Dongho Won

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Radio Frequency Identification (RFID) systems are expected to be widely deployed in automated identification and supply-chain applications. Although RFID systems have several advantages, the technology may also create new threats to user privacy. In this paper, we propose the Fair RFID system. This involves improving the security and privacy of existing RFID systems while keeping in line with procedures already accepted by the industrial world. The proposed system enables the protection of users' privacy from unwanted scanning, and, when necessary, is conditionally traceable to the tag by authorized administrators.

Original languageEnglish
Title of host publicationSecurity and Privacy in Ad-hoc and Sensor Networks - Second European Workshop, ESAS 2005, Revised Selected Papers
Pages142-152
Number of pages11
DOIs
Publication statusPublished - 2005 Dec 1
EventSecond European Workshop on Security and Privacy in Ad-hoc and Sensor Networks, ESAS 2005 - Visegrad, Hungary
Duration: 2005 Jul 132005 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3813 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherSecond European Workshop on Security and Privacy in Ad-hoc and Sensor Networks, ESAS 2005
CountryHungary
CityVisegrad
Period05/7/1305/7/14

Keywords

  • Fairness
  • Privacy
  • RFID
  • Security
  • Traceability
  • Uncheckable

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kwak, J., Rhee, K., Oh, S., Kim, S., & Won, D. (2005). RFID system with fairness within the framework of security and privacy. In Security and Privacy in Ad-hoc and Sensor Networks - Second European Workshop, ESAS 2005, Revised Selected Papers (pp. 142-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3813 LNCS). https://doi.org/10.1007/11601494_12