Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/15436
Title: ElasticPay: Instant Peer-to-Peer Offline Extended Digital Payment System
Authors: Reddy, Annapureddy Venkata Sai Kumar
Banda, Gourinath
Keywords: attestation;central bank digital currency;double spending;offline mobile transaction;privacy;security;trusted platform module
Issue Date: 2024
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Citation: Reddy, A. V. S. K., & Banda, G. (2024). ElasticPay: Instant Peer-to-Peer Offline Extended Digital Payment System. Sensors. Scopus. https://doi.org/10.3390/s24248034
Abstract: The widespread reliance on paper-based currency poses significant drawbacks, such as counterfeiting, lack of transparency, and environmental impacts. While Central Bank Digital Currencies (CBDCs) address many of these issues, their dependence on continuous internet connectivity limits their usability in scenarios with poor or no network access. To overcome such limitations, this paper introduces ElasticPay, a novel Peer-to-Peer (P2P) Offline Digital Payment System that leverages advanced hardware security measures realised through Trusted Platform Modules (TPMs), Trusted Execution Environments (TEEs), and Secure Elements (SEs). ElasticPay ensures transaction privacy, unforgeability, and immediate settlement while preventing double spending. Our approach integrates robust recovery mechanisms and provides a scalable solution for diverse environments. Extensive experimentation validates the system’s reliability and practicality, highlighting its potential to advance secure and inclusive CBDC ecosystems. We demonstrate the proposed solution implementation on the iPhone mobilephone because it has an inbuilt Secure Enclave, which is an integrated implementation of the necessary TPM, TEE, and SE functionalities. © 2024 by the authors.
URI: https://doi.org/10.3390/s24248034
https://dspace.iiti.ac.in/handle/123456789/15436
ISSN: 1424-8220
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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