| Title | Computationally sound Bitcoin tokens |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Bartoletti, Massimo, Lande, Stefano, Zunino, Roberto |
| Conference Name | 2021 IEEE 34th Computer Security Foundations Symposium (CSF) |
| Date Published | jun |
| Keywords | bitcoin, bitcoin security, computer security, Human Behavior, neighbourhood covenants, pubcrawl, Scalability, tokens |
| Abstract | We propose a secure and efficient implementation of fungible tokens on Bitcoin. Our technique is based on a small extension of the Bitcoin script language, which allows the spending conditions in a transaction to depend on the neighbour transactions. We show that our implementation is computationally sound: that is, adversaries can make tokens diverge from their ideal functionality only with negligible probability. |
| DOI | 10.1109/CSF51468.2021.00022 |
| Citation Key | bartoletti_computationally_2021 |
Computationally sound Bitcoin tokens