Skip to main content

KYC as a Service (KASE)—A Blockchain Approach

  • Conference paper
  • First Online:
Advances in Machine Learning and Computational Intelligence

Abstract

KYC or know-your-customer is an integral part of the on-boarding process of a customer for a company. This process requires independent and tedious verification of a customer’s identity documents by the businesses leading to wastage of resources. In this paper, we propose a solution where the submission and verification of a customer are done only once, and the results are shared with the businesses which require the information. The proposed system uses blockchain to record and manage the KYC requests and ensure transparency. The KYC data is verified using machine learning processes to ensure further efficiency in the process by reducing a significant amount of time spent on verifying the customers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. S. Nakamoto, Bitcoin: A Peer-to-Peer Electronic Cash System (2009)

    Google Scholar 

  2. IPFS-Content Addressed, Versioned, P2P File System. 14 July 2014. https://arxiv.org/abs/1407.3561

  3. A. Ali, S. Latif, J. Qadir, S. Kanhere, J. Singh, J. Crowcroft, Blockchain and The Future of the Internet: A Comprehensive Review (2019). arXiv preprint arXiv:1904.00733

    Google Scholar 

  4. T. Alladi, V. Chamola, J.J. Rodrigues, S.A. Kozlov, Blockchain in smart grids: a review on different use cases. Sens. MDPI 19(22), 4862 (2019)

    Article  Google Scholar 

  5. T. Alladi, V. Chamola, R. Parizi, K.K.R. Choo, Blockchain applications for industry 4.0 and industrial IoT: a review. IEEE Access, Nov 2019

    Google Scholar 

  6. V. Hassija, G. Bansal, V. Chamola, V. Saxena, B. Sikdar, BlockCom: A Blockchain Based Commerce Model for Smart Communities Using Auction Mechanism. In: IEEE ICC, Shanghai, China, May 2019

    Google Scholar 

  7. Blockchain and The Future of the Internet: A Comprehensive, 23 Feb 2019. https://arxiv.org/abs/1904.00733

  8. TCS Whitepaper—Reimagining KYC with Blockchain Technology. Last accessed, 8 Nov 2019

    Google Scholar 

  9. Gavin Wood, Ethereum: a secure decentralised generalised transaction ledger. Ethereum Project Yellow Paper 151, 1–32 (2014)

    Google Scholar 

  10. V. Buterin, The Meaning of Decentralization, Feb 2017. Reterived from https://medium.com/@VitalikButerin/the-meaning-of-decentralization-a0c92b76a274

  11. P. Sinha, A. Kaul, Decentralized KYC System (2018) https://www.irjet.net/archives/V5/i8/IRJET-V5I8204.pdf

  12. J. Parra Moyano, O. Ross, Bus. Inf. Syst. Eng. 59, 411 (2017). https://doi.org/10.1007/s12599-017-0504-2

    Article  Google Scholar 

  13. GDPR European Union Guidelines https://gdpr-info.eu/. Last accessed 8 Nov 2019

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hrishikesh Suslade .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Patel, D., Suslade, H., Rane, J., Prabhu, P., Saluja, S., Busnel, Y. (2021). KYC as a Service (KASE)—A Blockchain Approach. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_76

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5243-4_76

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5242-7

  • Online ISBN: 978-981-15-5243-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics