Paper Info
Title
Efficient Data Retrieval Over Encrypted Attribute-Value Type Databases in Cloud-Assisted Ehealth Systems
Abstract
In cloud-assisted electronic health (eHealth) systems, outsourced electronic health records (EHRs) have attribute-value type formats: an EHR corresponds to an entry with a unique identity and has multiple types of attribute values. Such formatted EHRs form an attribute-value type database, where both the attribute values and unique identities can serve as keywords for searching. Since EHRs are very sensitive, they are always encrypted before being outsourced, which makes retrieval of target EHRs by either identity or attribute value hard. Moreover, the EHRs are encrypted by different doctors, a researcher, who is delegated to research a certain kind of disease, cannot find out all corresponding EHRs due to the difference of encryption keys. In this article, we construct a triple dictionary index structure for the attribute-value type database to allow a researcher to retrieve encrypted EHRs by the identity and attribute value and to perform dynamic operations over them. We employ an identity server to assist doctors in generating encryption keys via an oblivious way. By doing so, the researcher can retrieve encrypted EHRs without leaking any information to the identity server. We analyze the security and evaluate the performance of our scheme to demonstrate that it achieves $L$-adaptive security and forward security with high efficiency.
Year
DOI
Venue
2022
10.1109/JSYST.2021.3073169
IEEE SYSTEMS JOURNAL
Keywords
DocType
Volume
Databases, Security, Cryptography, Indexes, Encryption, Servers, Electronic healthcare, Attribute-value type database, cloud-assisted ehealth systems, dynamic symmetric searchable encryption (DSSE), oblivious PRF
Journal
16
Issue
ISSN
Citations 
2
1932-8184
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Shanshan Li121.38
Chunxiang Xu27214.57
Yuan Zhang312146.72
Yicong Du400.34
Xinsheng Wen500.34
Kefei Chen61178107.83
Jianfeng Ma734040.21