@inproceedings{1d3377152a764682972995503fe52a08,
title = "Metadata Privacy Preservation for Blockchain-Based Healthcare Systems",
abstract = "Blockchain-based healthcare systems provide a patient-centric and accountable way to manage and share electronic health records. Thanks to its unique features, the blockchain is employed to record the metadata and to carry out access control. Nevertheless, the transparent nature of blockchain also poses a new challenge to these systems. We identify that the metadata stored on the blockchain leaks the relationship between doctors and patients. Based on this relationship, the adversary can launch linkage attacks to infer patients{\textquoteright} information. Hence, it is necessary to protect metadata privacy. However, strong privacy protection may reduce accountability. Striking a balance between accountability and privacy preservation is a major challenge for the blockchain and its applications. In this paper, we first elaborate on the reasons why the metadata could leak the privacy of patients in blockchain-based healthcare systems. After that, we propose privacy-preserving and accountable protocols to deal with this problem for two different healthcare scenarios: the single doctor case and the group consultation case. Finally, the theoretical analysis demonstrates the practicality of our protocols.",
keywords = "Accountability, Healthcare system, Privacy preservation",
author = "Lixin Liu and Xinyu Li and Zhuoya Fan and Au, {Man Ho} and Xiaofeng Meng",
note = "Funding Information: Supported by organization x. Funding Information: This work was supported in part by the NSFC grants (61941121, 62172423, and 91846204). And part of this work was done when the first author was visiting the Hong Kong Polytechnic University. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022 ; Conference date: 11-04-2022 Through 14-04-2022",
year = "2022",
month = apr,
doi = "10.1007/978-3-031-00123-9_33",
language = "English",
isbn = "9783031001222",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "404--412",
editor = "Arnab Bhattacharya and {Lee Mong Li}, Janice and Divyakant Agrawal and Reddy, {P. Krishna} and Mukesh Mohania and Anirban Mondal and Vikram Goyal and {Uday Kiran}, Rage",
booktitle = "Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Proceedings",
address = "Germany",
}