Blockchain-based Trusty Buyer Coalition Scheme Using A Group Signature

Authors

  • Laor Boongasame Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
  • Supansa Chaising Department of Information Technology, The International College, Payap University, Chiang Mai 50000, Thailand
  • Punnarumol Temdee Computer and Communication Engineering for Capacity Building Research Center, School of Information Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.1823

Keywords:

Digital Signature, Trusted Third Party, Group Buyer Coalition, Group Signature, Blockchain

Abstract

Without trust, buyers may not join a coalition. Despite the tremendous need for trustworthy relationships in buyer coalitions, no current buyer coalition scheme explicitly tackles confidence issues with blockchain technology. This study proposes an algorithmic design, the blockchain-based trusty buyer coalition scheme, to satisfy the trust requirement among different actors while forming the coalition. All activities forming a coalition through a decentralized public ledger can be explicitly examined. Consequently, the proposed algorithm can ensure anonymity within a community, resulting in trusting relationships. Furthermore, the proposed algorithm can ensure correctness and accountability by recognizing misbehavior and enforcing alternative forms of punishment. Additionally, the discovered algorithm can be applied to mobile commerce applications.

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Author Biographies

Laor Boongasame, Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand

Laor Boongasame is a lecturer in the School of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand. She obtained her Ph.D. in Computer Engineering from King Mongkut’s University of Technology Thonburi, Thailand. Her research interests involve buyer coalitions, n-person game theory, and investment. She has published several research papers in internationally refereed journals and has presented several papers at several international conferences. She can be reached at laor.bo@kmitl.ac.th

Supansa Chaising, Department of Information Technology, The International College, Payap University, Chiang Mai 50000, Thailand

Supansa Chaising received the bachelor’s degree in accounting, the master’s degree and the doctoral degree in computer engineering from Mae Fah Luang University, Thailand. She is currently an instructor in Department of Information Technology, The International College at Payap University, Thailand. Her research interests are artificial intelligence, machine learning, and business information systems.

Punnarumol Temdee, Computer and Communication Engineering for Capacity Building Research Center, School of Information Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand

Punnarumol Temdee received B. Eng. in Electronic and Telecommunication Engineering, M. Eng in Electrical Engineering, and Ph.D. in Electrical and Computer Engineering from King Mongkut’s University of Technology Thonburi. She is currently a lecturer at School of Information Technology, Mae Fah Luang University, Thailand. Her research expertise is artificial intelligence-based application, context-aware computing, and pattern classification.

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Published

2021-10-04

How to Cite

Boongasame, L., Chaising, S., & Temdee, P. (2021). Blockchain-based Trusty Buyer Coalition Scheme Using A Group Signature. Journal of Mobile Multimedia, 18(2), 203–230. https://doi.org/10.13052/jmm1550-4646.1823

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Section

ICEAST 2020