A Blockchain Framework Using QR Code Based Authentication for Secure and Efficient Share Transfers
- DOI
- 10.2991/978-94-6239-616-6_108How to use a DOI?
- Keywords
- Blockchain; DIS; Distributed ledger; Off-market transfer; QR code; Smart contracts
- Abstract
Transfer of shares from one person to another happens in two ways, namely On-Market trade and Off-Market trade. On-Market trades are anonymous, meaning, both the seller and the buyer do not know each other. In an off- market trade, both parties know each other and to initiate the transfer of shares, the seller fills out a form named Delivery Instruction Slip (DIS) and submits it to their stockbroker. This method is prone to errors and delays, as even a single wrong entry could invalidate the whole transaction. This paper proposes a secure and immutable framework for transferring shares using QR-based authentication and blockchain technology. By employing the methods proposed on this paper, all the transactions are validated and recorded on an immutable ledger, thus making the transfers free from human errors and reducing the time required to transfer shares from the seller to the buyer from three days to a few minutes, this method provides a faster and more secure solution to retail investors.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sudarsanam Sudarsanam AU - C. Ashokkumar PY - 2026 DA - 2026/03/31 TI - A Blockchain Framework Using QR Code Based Authentication for Secure and Efficient Share Transfers BT - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025) PB - Atlantis Press SP - 1504 EP - 1513 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6239-616-6_108 DO - 10.2991/978-94-6239-616-6_108 ID - Sudarsanam2026 ER -