Abstract
Know Your Customer (KYC) is a crucial and mandatory stage for any financial institution post-new user registration. However, the data collected from this process are often stored in centralized or traditional systems which are not tamper-proof making sensitive user information prone to vulnerabilities and information theft. Our proposed system aims to create a KYC system using immutable property of Distributed Ledger Technology (DLT), i.e., Ethereum blockchain platform, smart contract, MetaMask Wallet, and the Content Addressable Storage (CAS), i.e., Interplanetary File System (IPFS). The system also integrates end-to-end encryption, i.e., AES- 256- GCM algorithm which will increase its security and improve the data integrity aspect as well. A comparison of KYC systems working with traditional storage and cryptographic methods and our proposed system to migrate this traditional infrastructure to a P2P (Peer-to-Peer) storage, access control, and state maintaining distributed virtual machine with ciphered data is done. The attributes for performance evaluation metrics are blockchain-based, access control, secure search, storage environment, encryption and decryption mechanisms. After which, a price comparison of data uploading cost on the blockchain in USD (raw data V/S encrypted data) is done which shows that our proposed system is much more economical for uploading larger files.
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References
Smart Contracts. https://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart.contracts.html. Last Accessed 24 Apr 20
Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform, ethereum.org/en/whitepaper/. Last Accessed 24 Apr 2020
Shbair, W.M., Steichen, M., Francois, J., State, R.: Blockchain orchestration and experimentation framework: a case study of KYC, HAL open science. IEEE/IFIP man2block Taipei, Taiwan (2018)
Parra-Moyano, J., Ross, O.: Optimized and dynamic KYC system based on blockchain technology. Int. J. Blockchains and Cryptocurrencies 1(1), 85–106 (2018)
Sinha, P., Kaul, A.: Decentralized KYC system. Int. Res. J. Eng. Technol. (IRJET) 5(8), 1206–1211 (2018)
George, D., Wani, A., Bhatia, A.: A blockchain based solution to know your customer (KYC) dilemma. In: IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6. (2019)
Kumar, R., Tripathi, R.: Implementation of distributed file storage and access framework using IPFS and blockchain. In: 5th International Conference on Image Information Processing (ICIIP), pp. 246–251. (2019)
Kumar, R., Tripathi, R.: Blockchain-based framework for data storage in peer-to-peer scheme using interplanetary file system. In: Handbook of Research on Blockchain Technology, pp. 35–39 (2020)
Kumar, M., Yadav, N.: A blockchain based approach for an efficient secure KYC process with data sovereignty. Int. J. Scient. Technol. Res. 9(1), 3403–3407 (2020)
Singhal, N., Kumar Sharma, M., Singh Samant, S., Goswami, P., Abhilash Reddy, Y.: Smart KYC using blockchain and IPFS. In: Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies, vol. 643, pp. 77–84 (2020)
Al Mamun, A., Shamim Kaiser, M., Abu Yousuf, M.: Secure and transparent KYC for banking system using IPFS and blockchain technology. In: IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Singh, A., Salunkhe, S. (2024). Blockchain-Based KYC: Content Addressable Storage and Encryption. In: Choudrie, J., Tuba, E., Perumal, T., Joshi, A. (eds) ICT for Intelligent Systems. ICTIS 2024. Smart Innovation, Systems and Technologies, vol 403. Springer, Singapore. https://doi.org/10.1007/978-981-97-5799-2_31
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DOI: https://doi.org/10.1007/978-981-97-5799-2_31
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