An efficient offline grouping proof protocol using multiple types of tags

Hyoungmin Ham, Inhwan Kim, Jooseok Song

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

2 Citations (Scopus)

Abstract

An offline grouping proof shows that multiple Radio Frequency Identification tags are scanned simultaneously, regardless of a reader device's network connectivity. However, the previous offline grouping proof schemes are unsuitable for passive tags, and do not handle errors that cause performance degradation, such as transmission loss or synchronization failure of shared values between tags and a back-end database. In this paper, we propose an efficient offline grouping proof scheme using multiple types of tags. It makes use of an agent tag which does computing operations instead of the passive tags to reduce the computational cost of them, thus it eventually shortens the time for generating a grouping proof. We show that the number of modules and operations of the passive tags in our scheme are less than half of the previous schemes while it achieves the enhanced security and scalability.

Original languageEnglish
Title of host publicationACM IMCOM 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450333771
DOIs
Publication statusPublished - 2015 Jan 8
Event9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015 - Bali, Indonesia
Duration: 2015 Jan 82015 Jan 10

Publication series

NameACM IMCOM 2015 - Proceedings

Other

Other9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015
CountryIndonesia
CityBali
Period15/1/815/1/10

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering
  • Management Information Systems

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  • Cite this

    Ham, H., Kim, I., & Song, J. (2015). An efficient offline grouping proof protocol using multiple types of tags. In ACM IMCOM 2015 - Proceedings [a94] (ACM IMCOM 2015 - Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/2701126.2701162