@inproceedings{223500cfd1da400cab89dec98cf5240a,
title = "A blockchain-based loan over-prevention mechanism",
abstract = "Information sharing solves the problem of information asymmetry between banks to a certain extent, but it also brings about the leakage of customer privacy. Therefore, how to protect data privacy while sharing data is an urgent issue. Blockchain protects the privacy of accounts and data while sharing data. Therefore, we propose a blockchain-based loan over-prevention mechanism. The program can hide the customer loan/repayment amount and thus protect the customer's privacy; we prove that the customer's loan amount is within a certain range and does not exceed the remaining loanable amount via a range proof. In order to share customer loan information between banks, we store the commitment of customers' amounts in the blockchain, and banks can obtain relevant information directly from the chain, which also reduces the amount of communication between banks. Finally, we implement the model and performe a performance analysis.",
keywords = "blockchain, loan over-prevention, privacy protection",
author = "Xiaoya Hu and Licheng Wang and Lijing Zhou and Lixiang Li and Sijia Yang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th International Conference on Privacy, Security and Trust, PST 2019 ; Conference date: 26-08-2019 Through 28-08-2019",
year = "2019",
month = aug,
doi = "10.1109/PST47121.2019.8949077",
language = "English",
series = "2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ali Ghorbani and Indrakshi Ray and Lashkari, \{Arash Habibi\} and Jie Zhang and Rongxing Lu",
booktitle = "2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings",
address = "United States",
}