The modeling of privacy preserving and statistically analysable database (PPSADB) system

As the general data protection regulation (GDPR) of the European Union (EU) became enforceable from May 25, 2018, privacy gets to hot issues again. Especially, health information includes sensitive personal information, while it is encouraged to contribute to medical research data. The modelling for...

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Bibliographic Details
Published in:International journal of advanced computer research 2018-09, Vol.8 (38), p.229-239
Main Author: Park, Hyun-A
Format: Article
Language:English
Subjects:
Access control
Cryptography
Data mining
Encryption
General Data Protection Regulation
Health
International conferences
Medical research
Permutations
Personal health
Privacy
Pseudorandom
Queries
Query languages
Statistical analysis
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Summary:As the general data protection regulation (GDPR) of the European Union (EU) became enforceable from May 25, 2018, privacy gets to hot issues again. Especially, health information includes sensitive personal information, while it is encouraged to contribute to medical research data. The modelling for privacy preserving and statistically analysable database (PPSADB) system was proposed as a solution for this bilateral feature of health information. The proposed system consists of largely two kinds of database; encrypted database (EnDB) for usual time and statistically analysable database (SADB) for publishing. The health information (HI) in SADB is permuted by pseudorandom permutation, instead of encryption. In result, our system can satisfy privacy requirements and simultaneously provide almost all kinds of SQL queries and arithmetic operations for medical research. Additionally, it solves the problem of previous researches such as inter-column operations and dynamic database on encrypt (cryptographic or privacy technical) database.
ISSN:2249-7277
2277-7970
DOI:10.19101/IJACR.2018.838017