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.

References

Blankenburg, B., R. K. Dash, S. D. Ramchurn, M. Klusch, and N. R. Jennings., 2005. Trusted Kernel-based Coalition Formation. In AAMAS ‘05 Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Utrecht, 989–996.

Boongasame, L., Leung, H. F., Boonjing, V., & Chiu, D. K. (2009a, June). Forming buyer coalitions with bundles of items. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 714–723). Springer, Berlin, Heidelberg.

Boongasame, L., & Sukstrienwong, A. (2009b, September). Buyer coalitions with bundles of items by using genetic algorithm. In International Conference on Intelligent Computing (pp. 674–685). Springer, Berlin, Heidelberg.

He, L., & Ioerger, T. R. (2004, July). Combining bundle search with buyer coalition formation in electronic markets: A distributed approach through negotiation. In AAMAS (Vol. 4).

Li, C., Sycara, K., & Scheller-Wolf, A. (2010). Combinatorial coalition formation for multi-item group-buying with heterogeneous customers. Decision Support Systems, 49(1), 1–13.

Indrawan, M., Kijthaweesinpoon, T., Srinivasan, B., & Sajeev, A. S. M. (2004, January). Coalition formation protocol for e-commerce. In International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of (pp. 403–408). IEEE.

Hyodo, M., Matsuo, T., & Ito, T. (2003, June). An optimal coalition formation among buyer agents based on a genetic algorithm. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 759–767). Springer, Berlin, Heidelberg.

Matsuo, T., Ito, T., & Shintani, T. (2004, July). A buyers integration support system in group buying. In Proceedings. IEEE International Conference on e-Commerce Technology, 2004. CEC 2004. (pp. 111–118). IEEE.

Chen, J., Chen, X., & Song, X. (2002). Bidder’s strategy under group-buying auction on the Internet. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 32(6), 680–690.

Tsvetovat, M., Sycara, K., Chen, Y., & Ying, J. (2000, June). Customer coalitions in electronic markets. In International Workshop on Agent-Mediated Electronic Commerce (pp. 121–138). Springer, Berlin, Heidelberg.

Anand, K. S., & Aron, R. (2003). Group buying on the web: A comparison of price-discovery mechanisms. Management Science, 49(11), 1546–1562.

Chen, J., Chen, X., Kauffman, R. J., & Song, X. (2009). Should we collude? Analyzing the benefits of bidder cooperation in online group-buying auctions. Electronic Commerce Research and Applications, 8(4), 191–202.

Li, C., & Sycara, K. (2002, July). Algorithm for combinatorial coalition formation and payoff division in an electronic marketplace. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 (pp. 120–127).

Li, C., Rajan, U., Chawla, S., & Sycara, K. (2003, September). Mechanisms for coalition formation and cost sharing in an electronic marketplace. In Proceedings of the 5th international conference on Electronic commerce (pp. 68–77).

Matsuo, T., Ito, T., & Shintani, T. (2005, April). A volume discount-based allocation mechanism in group buying. In International Workshop on Data Engineering Issues in E-Commerce (pp. 59–67). IEEE.

Kraus, S., Shehory, O., & Taase, G. (2003, July). Coalition formation with uncertain heterogeneous information. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (pp. 1–8).

Kraus, S., Shehory, O., & Taase, G. (2004, July). The advantages of compromising in coalition formation with incomplete information. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 2 (pp. 588–595).

Breban, S., and J. Vassileva., 2002. A Coalition Formation Mechanism Based on Inter-agent Trust Relationships. In Proceedings of the 1st International Joint Conference on Autonomous Agents and Multiagent Systems: Part 1, New York: 306–307.

Xu, X., Weber, I., & Staples, M. (2019). Architecture for blockchain applications (pp. 1-307). Heidelberg: Springer.

Narayanan, A., Bonneau, J., Felten, E., Miller, A., & Goldfeder, S. (2016). Bitcoin and cryptocurrency technologies: a comprehensive introduction. Princeton University Press.

Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375.

Dujak, D., & Sajter, D. (2019). Blockchain applications in supply chain. In SMART supply network (pp. 21–46). Springer, Cham.

Siyal, A. A., Junejo, A. Z., Zawish, M., Ahmed, K., Khalil, A., & Soursou, G. (2019). Applications of blockchain technology in medicine and healthcare: Challenges and future perspectives. Cryptography, 3(1), 3.

Chen, J., Chen, X., & Song, X. (2002). Bidder’s strategy under group-buying auction on the Internet. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 32(6), 680–690.

Chen, J., Kauffman, R. J., Liu, Y., & Song, X. (2010). Segmenting uncertain demand in group-buying auctions. Electronic Commerce Research and Applications, 9(2), 126–147.

Tsvetovat, M., Sycara, K., Chen, Y., & Ying, J. (2000, June). Customer coalitions in electronic markets. In International Workshop on Agent-Mediated Electronic Commerce (pp. 121–138). Springer, Berlin, Heidelberg.

He, L., and T. Ioerger., 2005. Combining Bundle Search with Buyer Coalition Formation in Electronic Markets: A Distributed Approach through Explicit Negotiation. Electronic Commerce Research and Applications 4(4): 329–344.

Boongasame, L., F. Daneshgar., 2016. An awareness-based meta-mechanism for e-commerce buyer coalitions. Information Systems Frontiers 18 (3): 529–540.

Boongasame, L., P. Temdee, and F. Daneshgar., 2012. Forming Buyer Coalition Scheme with Connection of a Coalition Leader. Journal of Theoretical and Applied Electronic Commerce Research 7: 17–18.

McKnight, D. H., and N. L. Chervany., 2002a. What Trust Means in e-commerce Customer Relationships: An Interdisciplinary Conceptual Typology. International Journal of Electronic Commerce 6(2): 35–59.

Xu, X., Lu, Q., Liu, Y., Zhu, L., Yao, H., & Vasilakos, A. V. (2019). Designing blockchain-based applications a case study for imported product traceability. Future Generation Computer Systems, 92, 399–406.

Tripoli, M., & Schmidhuber, J. (2018). Emerging Opportunities for the Application of Blockchain in the Agri-food Industry. FAO and ICTSD: Rome and Geneva. Licence: CC BY-NC-SA, 3.

Prashar, D., Jha, N., Jha, S., Lee, Y., & Joshi, G. P. (2020). Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India. Sustainability, 12(8), 3497.

Zhu, Y., Lv, C., Zeng, Z., Wang, J., & Pei, B. (2019, June). Blockchain-based Decentralized Storage Scheme. In Journal of Physics: Conference Series, 1237(4), p. 042008. IOP Publishing.

Kumar, R., & Tripathi, R. (2020). Blockchain-Based Framework for Data Storage in Peer-to-Peer Scheme Using Interplanetary File System. In Handbook of Research on Blockchain Technology, pp. 35–59. Academic Press.

Balaji, S., Mohan, V., Soundarya. (2017). Secure and decentralized file transfer application using blockchain. International Journal of Current Engineering and Scientific Research (IJCESR), 4(4), pp. 169–175.

Patel, V. (2019). A framework for secure and decentralized sharing of medical imaging data via blockchain consensus. Health informatics journal, 25(4), 1398–1411.

Dinesh Kumar K, Manoj Kumar D.S, Anandh R. (2020). Blockchain Technology In Food Supply Chain Security. International Journal of Scientific & Technology Research, 9(1), pp. 3446–3450.

Kumari, S. & Farheen, S., (2020). Blockchain based Data Security for Financial Transaction System. 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, pp. 829–833, doi: 10.1109/ICICCS48265.2020.9121108.

Javed, M. U., Rehman, M., Javaid, N., Aldegheishem, A., Alrajeh, N., & Tahir, M. (2020). Blockchain-Based Secure Data Storage for Distributed Vehicular Networks. Applied Sciences, 10(6), 2011.

Benítez-Martínez, F. L., Hurtado-Torres, M. V., & Romero-Frías, E. (2021). A neural blockchain for a tokenizable e-Participation model. Neurocomputing, 423, 703–712.

Khan, F. B. (2019). The game of votes: Visual media politics and elections in the digital era. SAGE Publishing India.

Krishnan, S., Balas, V. E., Julie, E. G., Yesudhas, H. R., Balaji, S., & Kumar, R. (Eds.). (2020). Handbook of research on blockchain technology. Academic Press.

Leelasantitham, A. (2020). A Business Model Guideline of Electricity Utility Systems Based on Blockchain Technology in Thailand: A Case Study of Consumers, Prosumers and SMEs. Wireless Personal Communications, 115(4), 3123–3136.

Jamil, F., Iqbal, N., Ahmad, S., & Kim, D. (2021). Peer-to-Peer Energy Trading Mechanism based on Blockchain and Machine Learning for Sustainable Electrical Power Supply in Smart Grid. IEEE Access, 9, 39193–39217.

Thukral, M. K. (2021). Emergence of blockchain-technology application in peer-to-peer electrical-energy trading: a review. Clean Energy, 5(1), 104–123.

Jintapitak, M., Ansari, M. A., Kamyod, C., Singkhamfu, W., Kamthe, N. S., & Temdee, P. (2019, November). Blockchain Eco-System for Thai Insect Industry: A Smart Contract Conceptual Framework. In 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC) (pp. 1–4). IEEE.

Leduc, G., Kubler, S., & Georges, J. P. (2021). Innovative blockchain-based farming marketplace and smart contract performance evaluation. Journal of Cleaner Production, 306, 127055.

Tanwar, S., Parekh, K., & Evans, R. (2020). Blockchain-based electronic healthcare record system for healthcare 4.0 applications. Journal of Information Security and Applications, 50, 102407.

De Aguiar, E. J., Faiçal, B. S., Krishnamachari, B., & Ueyama, J. (2020). A survey of blockchain-based strategies for healthcare. ACM Computing Surveys (CSUR), 53(2), 1–27.

Marwan, M., Kartit, A., & Ouahmane, H. (2018). A cloud-based framework to secure medical image processing. Journal of Mobile Multimedia, 14(3), 319–344.

Klemperer, P. (1999). Auction theory: A guide to the literature. Journal of economic surveys, 13(3), 227–286.

McKnight, D. H., V. Choudhury, and C. Kacmar., 2002b. Developing and Validating Trust Measures for e-commerce: An Integrative Typology. Information Systems Research 13 (3): 334–359.

Diffie, W., & Hellman, M. (1976). New directions in cryptography. IEEE transactions on Information Theory, 22(6), 644–654.

Chaum, D., and E. V. Heyst., 1992. Group Signatures, Vol. 547: 257–265. Berlin: Springer.

Xiao, Y., Zhang, N., Lou, W., & Hou, Y. T. (2020). A survey of distributed consensus protocols for blockchain networks. IEEE Communications Surveys & Tutorials, 22(2), 1432–1465.

Ziogou C., D. Ipsakis, P. Seferlis, S. Bezergianni, S. Papadopoulou, S. Voutetakis S, 2013, Optimal production of renewable hydrogen based on an efficient energy management strategy, Energy, 55, 58–67.

Chen, X., G. Lenzini, S. Mauw, and J. Pang., 2010. A Group Signature Based Electronic Toll Pricing System. In SAC’12, Riva del Garda, Italy.

Boongasame, L., 2006. The Price Negotiation Scheme for Forming Community Buyer Coalitions. PhD dissertation, Department of Electrical and Computer Engineering, King Mongkut’s University of Technology Thonburi.

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Published

2021-10-04

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Section

ICEAST 2020