Novel blockchain transaction provenance model with graph attention mechanism

作者：

Highlights：

• Novel blockchain transaction provenance model with graph attention mechanism is proposed.

• The triple data structure is used to describe the provenance information.

• The proposed method is used to improve the traceback accuracy.

• The effectiveness of the proposed method is verified based on real large-scale Bitcoin dataset.

• The experiment shows that the proposed method achieves state of the art result.

摘要

•Novel blockchain transaction provenance model with graph attention mechanism is proposed.•The triple data structure is used to describe the provenance information.•The proposed method is used to improve the traceback accuracy.•The effectiveness of the proposed method is verified based on real large-scale Bitcoin dataset.•The experiment shows that the proposed method achieves state of the art result.

论文关键词：Blockchain,Data provenance model,Transaction network,Graph attention mechanism

论文评审过程：Received 22 October 2021, Revised 26 July 2022, Accepted 3 August 2022, Available online 8 August 2022, Version of Record 10 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118411