Abstract
E-commerce has seen a surge in growth in the wake of the ongoing pandemic and is gaining ground worldwide. Inherently, product reviews by customers have fueled purchasing decisions. Blockchain is a decentralized ledger technology where a history of transactions are managed in an immutable manner. This technology is gaining traction as a result of general distrust and fragmentation in centralized systems. This paper proposes a smart contract enabled decentralized reputation system on a permissioned blockchain for E-commerce reviews. We present an overview of the limitations of current reputation system. We show how our approach addresses the fragmentation and credibility issues of product reviews in current reputation systems.
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References
Benet, J.: IPFS-content addressed, versioned, P2P file system. arXiv preprint arXiv:1407.3561 (2014)
Cachin, C.: Architecture of the Hyperledger blockchain fabric. In: Workshop on Distributed Cryptocurrencies and Consensus Ledgers (DCCL 2016) (2016). https://www.zurich.ibm.com/dccl/papers/cachin_dccl, http://bytacoin.io/main/Hyperledger.pdf
Carboni, D.: Feedback based Reputation on top of the Bitcoin Blockchain (2015). http://arxiv.org/abs/1502.01504
Cong, L.W., He, Z.: Blockchain disruption and smart contracts. Rev. Finan. Stud. 32(5), 1754–1797 (2019)
Dennis, R., Owen, G.: Rep on the block: a next generation reputation system based on the blockchain. In: 2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015, pp. 131–138 (2016). https://doi.org/10.1109/ICITST.2015.7412073
Ferdous, M.S., Chowdhury, M.J.M., Hoque, M.A., Colman, A.: Blockchain consensuses algorithms: a survey. arXiv preprint arXiv:2001.07091 (2020)
Hoffman, K., Zage, D., Nita-Rotaru, C.: A Survey of attacks on Reputation Systems, pp. 7–13 (2007). http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2676&context=cstech
Kitonyi, N.: UK Online Shopping and E-Commerce Statistics for 2017—Nasdaq. https://www.nasdaq.com/articles/uk-online-shopping-and-e-commerce-statistics-2017-2017-03-14. Accessed 2 Feb 2021
Lipsman, A.: Global Ecommerce 2019 - eMarketer Trends, Forecasts and Statistics. https://www.emarketer.com/content/global-ecommerce-2019. Accessed 2 Feb 2021
Liu, D., Alahmadi, A., Ni, J., Lin, X., Shen, X.: Anonymous reputation system for IIoT-enabled retail marketing atop PoS blockchain. IEEE Trans. Ind. Inf. 15(6), 3527–3537 (2019). https://doi.org/10.1109/TII.2019.2898900
Mohaisen, A.: The sybil attacks and defenses: a survey. Smart Comput. Rev. 3(6) (2013). https://doi.org/10.6029/smartcr.2013.06.009
Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System (2008)
Palmer, A.: Amazon Choice badge recommends unsafe, fake products. https://www.cnbc.com/2019/12/23/amazon-choice-badge-recommends-unsafe-fake-products.html. Accessed 2 Feb 2021
Schoolov, K.: Amazon Reviews: Thousands are fake, here’s how to spot them. https://www.cnbc.com/2020/09/06/amazon-reviews-thousands-are-fake-heres-how-to-spot-them.html. Accessed 2 Feb 2021
Wang, K., Zhang, Z., Kim, H.S.: ReviewChain: smart contract based review system with multi-blockchain gateway. In: Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom, pp. 1521–1526 (2018). https://doi.org/10.1109/Cybermatics_2018.2018.00256
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Kugblenu, C., Vuorimaa, P., Keller, B. (2022). Smart Contract Enabled Decentralized Reputation System for E-Commerce Reviews. In: Koucheryavy, Y., Balandin, S., Andreev, S. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2021 2021. Lecture Notes in Computer Science(), vol 13158. Springer, Cham. https://doi.org/10.1007/978-3-030-97777-1_3
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DOI: https://doi.org/10.1007/978-3-030-97777-1_3
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