An Online Data-Oriented Authentication Based on Merkle Tree with Improved Reliability

Dongyoung Koo, Youngjoo Shin, Joobeom Yun, Junbeom Hur

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

6 Citations (Scopus)

Abstract

In this paper, we examine the online authentication method based on Merkle (hash) tree focusing on its reliability. Coming from side channels in online authentication, the effectiveness runs into danger in the long run. With consideration of effectiveness, we present a Merkle tree based online authentication resilient against side channels by obfuscating authentication proofs. Security and efficiency are analyzed to demonstrate the practicality of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017
EditorsShiping Chen, Ilkay Altintas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages840-843
Number of pages4
ISBN (Electronic)9781538607527
DOIs
Publication statusPublished - 2017 Sep 7
Event24th IEEE International Conference on Web Services, ICWS 2017 - Honolulu, United States
Duration: 2017 Jun 252017 Jun 30

Publication series

NameProceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017

Conference

Conference24th IEEE International Conference on Web Services, ICWS 2017
CountryUnited States
CityHonolulu
Period17/6/2517/6/30

Keywords

  • authentication
  • Merkle tree
  • proof of ownership
  • reliability
  • side channels

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management

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  • Cite this

    Koo, D., Shin, Y., Yun, J., & Hur, J. (2017). An Online Data-Oriented Authentication Based on Merkle Tree with Improved Reliability. In S. Chen, & I. Altintas (Eds.), Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017 (pp. 840-843). [8029845] (Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICWS.2017.102