WhoPay: A Scalable and Anonymous Payment System for Peer-to-Peer Environments

Authors:
Kai Wei;Alan J. Smith;Yih-Farn Robin Chen;Binh Vo
Affiliations:
University of Cailfornia, Berkeley;University of Cailfornia, Berkeley;AT&T Labs-Research;Massachusetts Institute of Technology
Venue:
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Year:
2006

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Abstract

An electronic payment system ideally should provide security, anonymity, fairness, transferability and scalability. Existing payment schemes often lack either anonymity or scalability. In this paper we propose WhoPay, a peer-topeer payment system that provides all the above properties. For anonymity, we represent coins with public keys; for scalability, we distribute coin transfer load across all peers, rather than rely on a central entity such as the broker. This basic version of WhoPay is as secure and scalable as existing peer-to-peer payment schemes, while providing a much higher level of user anonymity. We also introduce the idea of real-time double spending detection by making use of distributed hash tables (DHT). Simulation results show that the majority of the system load is handled by the peers under typical peer availability, indicating that WhoPay should scale well.