Computationally sound Bitcoin tokens
Massimo Bartoletti, Stefano Lande, Roberto Zunino · UNICA IRIS Institutional Research Information System (University of Cagliari) · 2021
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.