@inproceedings{179d1c51e76c4f2a86608f98030d943a,
title = "Attribute-based Multi-Signature and Encryption for EHR Management: A Blockchain-based Solution",
abstract = "The global Electronic Health Record (EHR) market is growing dramatically and has already hit 31.5 billion in 2018. To safeguard the security of EHR data and privacy of patients, fine-grained information access and sharing mechanisms are essential for EHR management. This paper proposes a hybrid architecture of blockchain and edge nodes to facilitate EHR management. In this architecture, we utilize attribute-based multi-signature (ABMS) scheme to authenticate user's signatures without revealing the sensitive information and multi-authority attribute-based encryption (ABE) scheme to encrypt EHR data which is stored on the edge node. We develop the blockchain module on Hyperledger Fabric platform and the ABMS module on Hyperledger Ursa library. We measure the signing and verifying time of the ABMS scheme under different settings, and experiment with the authentication events and access activities which are logged as transactions in blockchain.",
keywords = "Attribute-based Encryption, Attribute-based Multi-Signature, Blockchain, Edge Node, Hyperledger Fabric, Hyperledger Ursa",
author = "Hao Guo and Wanxin Li and Ehsan Meamari and Shen, {Chien Chung} and Mark Nejad",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020 ; Conference date: 02-05-2020 Through 06-05-2020",
year = "2020",
month = may,
doi = "10.1109/ICBC48266.2020.9169395",
language = "English",
series = "IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020",
}