Abstract
As global markets have shifted to online services, e-commerce has become the preferred form of exchanging goods. While online shopping has many advantages, we cannot inspect goods in person to ensure authenticity. It has given rise to a slew of issues, such as counterfeiting of products, scam products that are different from their listings and products that are never delivered. Over the last few years, this problem has become even more compounded due to the popularity of side hustles like drop shipping. It is common to find the same product sold under many different names and listings on different websites. It is a prime example of counterfeited products. Problems like these have a massive negative impact on the supply chain and the health of the merchant economy. These types of issues are too widespread to counter manually, so there is a need for automated systems that can reliably combat these types of scams. There have been attempts with various methods, such as RFID tags embedded in products, QR code stickers, AI systems etc. However, each method has disadvantages that make it undesirable to use. Blockchain technology offers the best solution due to the inherent properties of blockchains. A secure, distributed decentralized ledger is the perfect way to track the supply chain at every stage and put control in the hands of the consumer to verify the products before buying. The proposed system allows manufacturers, sellers (mediators), and consumers to interact with the blockchain independently with varying levels of access. The product can be tracked from the manufacturer to the consumer, meaning if the consumer verifies it, it is implausible that they would fall prey to a scam. The proposed system’s main advantage was the difficulty of tampering with entries in the blockchain. It ensures the security and reliability of the history stored in the chain. The main disadvantage of this system is that it is challenging to integrate into existing large-scale e-commerce operations. This paper outlines the need for such a system, an example of its implementation, and the advantages and disadvantages of blockchain technology for the specific use case.
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References
Treiblmaier H, Sillaber C (2021) The impact of blockchain on e-commerce: a frame-work for salient research topics. Electron Commer Res Appl 48:101054
Sunny J, Undralla N, Pillai VM (2020) Supply chain transparency through blockchain-based traceability: an overview with demonstration. Comput Indus Eng 150:106895
Kumar S, Banka H, Kaushik B (2023) Ultra-lightweight blockchain-enabled rfid authentication protocol for supply chain in the domain of 5g mobile edge computing. Wireless Networks, pp 1–22
Wezza M, El-Gayar M, AboElfetoh A (2022) A novel model for securing seals using blockchain and digital signature based on qr codes
Hammoud A, Sami H, Mourad A, Otrok H, Mizouni R, Bentahar J (2020) Ai, blockchain, and vehicular edge computing for smart and secure iov: challenges and directions. IEEE Internet of Things Magazine 3(2):68–73
Hussain AA, Al-Turjman F (2021) Artificial intelligence and blockchain: a review. Trans Emerg Telecommun Technol 32(9):e4268
Salah K, Rehman MHU, Nizamuddin N, Al-Fuqaha A (2019) Blockchain for ai: review and open research challenges. IEEE Access 7:10127–10149
Cbp access—august 2022. https://www.cbp.gov/about/congressional-resources/cbp-access/august-2022. Accessed 30 Apr 2023
An overview of fake product detection using blockchain technology (2023) https://cointelegraph.com/explained/an-overview-of-fake-product-detection-using-blockchain-technology. Accessed 30 Apr 2023
Wasnik K, Sondawle I, Wani R, Pulgam N (2022) Detection of counterfeit products using blockchain. In: ITM Web of conferences. vol 44. EDP Sciences, pp 03015
Sˇandi S, Radonji´c S, Drobnjak J, Simeunovi´c M, Stamatovi´c B, Popovi´c T (2018) Smart tags for brand protection and anti-counterfeiting in wine industry. In: 2018 23rd international scientific-professional conference on information technology (IT). IEEE, pp 1–5
Chen S, Shi R, Ren Z, Yan J, Shi Y, Zhang J (2017) A blockchain-based supply chain quality management framework. In: 2017 IEEE 14th international conference on e-business engineering (ICEBE). IEEE, pp 172–176
Smits M, Hulstijn J (2020) Blockchain applications and institutional trust. Frontiers in Blockchain 3:5
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Chaurasia, A., Krishnamachari, D.R., Kumar, G., Gunjan, V.K. (2024). Fraudulent Product Identification System Using Blockchain. In: Kumar, A., Mozar, S. (eds) Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering . ICCCE 2024. Lecture Notes in Electrical Engineering, vol 1096. Springer, Singapore. https://doi.org/10.1007/978-981-99-7137-4_88
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DOI: https://doi.org/10.1007/978-981-99-7137-4_88
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