Name
Abstract | ||
|---|---|---|
Real world physical shopping offers customers the privilege of maintaining their privacy by giving them the option of using cash, and thus providing no personal information such as their names and home addresses. On the contrary, electronic shopping mandates the use of all sorts of personally identifiable information for both billing and shipping purposes. Cryptocurrencies such as Bitcoin have created a stimulated growth in private billing by enabling pseudonymous payments. However, the anonymous delivery of the purchased physical goods is still an open research problem. In this work, we present a blockchain-based physical delivery system called Lelantos1 that within a realistic threat model, offers customer anonymity, fair exchange and merchant-customer unlinkability. Our system is inspired by the onion routing techniques which are used to achieve anonymous message delivery. Additionally, Lelantos relies on the decentralization and pseudonymity of the blockchain to enable pseudonymity that is hard to compromise, and the distributed consensus mechanisms provided by smart contracts to enforce fair irrefutable transactions between distrustful contractual parties. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/PST.2017.00013 | 2017 15th Annual Conference on Privacy, Security and Trust (PST) |
Keywords | DocType | Volume |
blockchain-based physical delivery system,offers customer anonymity,merchant-customer unlinkability,anonymous message delivery,pseudonymity,blockchain-based anonymous physical delivery system,world physical shopping,personal information,names,home addresses,electronic shopping,personally identifiable information,shipping purposes,private billing,pseudonymous payments,anonymous delivery,purchased physical goods,open research problem,Lelantos | Conference | 2017 |
ISSN | ISBN | Citations |
1712-364X | 978-1-5386-2488-3 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riham Altawy | 1 | 81 | 9.95 |
| Muhammad ElSheikh | 2 | 1 | 3.41 |
| Amr Youssef | 3 | 238 | 29.69 |
| Guang Gong | 4 | 1717 | 160.71 |