Blockchain

Our dataset comes from the paper called "XBlock-ETH: Extracting and exploring blockchain data from Ethereum", the datasets are the on-chain data obtained by running all nodes of Ethereum. For the purpose of the experiment, we only selected block transactions from 0-2,000,000 blocks. These datasets are sufficient to support the experiments. You can get more details and analysis from the paper called "XBlock-ETH: Extracting and Exploring Blockchain Data from Ethereum". The citation of the paper as follows: P. Zheng, Z. Zheng, J. Wu, and H.-N.

The e-commerce market heavily relies on e-coupons, and their digital nature presents challenges in establishing a secure e-coupon infrastructure, which incurs maintenance costs. To address this, we explore using public blockchains for the e-coupon system, providing a highly reliable decentralized infrastructure with no maintenance costs. Storing coupon information on a blockchain ensures tamper resistance and protection against double redemption. However, using public blockchains shifts gas cost responsibility to users, potentially impacting user experience if not managed carefully.

Change address identification is one of the difficulties in bitcoin address clustering as an emerging social computing problem. Most of the current related research only applies to certain specific types of transactions and faces the problems of low recognition rate and high false positive rate. We innovatively propose a clustering method based on multi-conditional recognition of one-time change addresses and conduct experiments with on-chain bitcoin transaction data. The results show that the proposed method identifies at least 12.3\% more one-time change addresses than other heuristics.

The primary article search was carried out by using selected keywords. These keywords were jointly selected by the authors, with criteria that were based on the frequently used authors' keywords found in most of the related articles. For example, the list of keywords such as “blockchain” combined with “education”, or “lifelong learning” or “life-long learning” or “digital certificate” or “academic record” or “e-learning” was used to conduct the search.