Welcome to the resource topic for 2020/034
Title:
SkyEye: A Traceable Scheme for Blockchain
Authors: Tianjun Ma, Haixia Xu, Peili Li
Abstract:Many studies focus on the blockchain privacy protection. Unfortunately, the privacy protection brings some issues (e.g., money-laundering problem). Tracing users’ identities is a critical step in addressing these issues. When each user’s identity in the blockchain data is determined, the regulator can do some regulatory operations (such as Big Data analysis) to decide who should be punished or who should own the lost data. In this paper, we propose SkyEye, a traceable scheme for blockchain, that can be applied to a class of blockchain application. SkyEye enables the regulator to trace users’ identities. Moreover, we demonstrate the security of SkyEye under specific cryptographic assumptions. Finally, we implement two prototypes of SkyEye, and evaluate the running time and related data storage requirements by performing the aforementioned prototypes.
ePrint: https://eprint.iacr.org/2020/034
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