SEBF: A Single-Chain based Extension Model of Blockchain for Fintech

Authors: Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu

IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental In this section, we describe the experimental environment, and provide the results and the corresponding analysis. The experimental results indicate that the proposed model can improve the efficiency of simplified payment verification.
Researcher Affiliation Collaboration 1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China; 8We Bank Co., Ltd., Shenzhen, China
Pseudocode Yes Algorithm 1 summarizes the smart contract of extended function embedding that is deployed in the oracle machines... Algorithm 2 summarizes the smart contract of multi-type data processing that is deployed in the oracle machines...
Open Source Code Yes The main code of our model and the corresponding application demo is released on the webpage https://github.com/sebf2020/ijcai20.
Open Datasets No We randomly generate template data and input the data to the above four kinds of blockchains.
Dataset Splits No No specific train/validation/test dataset splits were described for the generated data, beyond different proportions of data types.
Hardware Specification Yes Financial terminal Raspberry Pi 3B+; Blockchain nodes CPU: E3-1257 v5 Graphics card: NAVIDIA Geforce GTX 1660; Oracle machine Server CPU: E5-2620 v2
Software Dependencies Yes Smart contract is built on the FISCO-BCOS v2.0 platform
Experiment Setup Yes the size of the input data set is investigated in the range of [500,3000] with the step of 500. For each case of data set size, we record the optimal and the worst verification time and report the mean value for each kind of blockchain. In order to make it easy to input data, the mining epoch is set as 10 minutes.