TY - GEN
T1 - A privacy-preserving query system using fully homomorphic encryption with real-world implementation for medicine-side effect search
AU - Jiang, Yusheng
AU - Noguchi, Tamotsu
AU - Kanno, Nobuyuki
AU - Yasumura, Yoshiko
AU - Suzuki, Takuya
AU - Ishimaki, Yu
AU - Yamana, Hayato
N1 - Funding Information:
This work was supported by JST CREST, Grant Number JPMJCR1503, Japan.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/12/2
Y1 - 2019/12/2
N2 - The preservation of privacy during a search has become a serious problem in recent years. There is an increasing requirement to ensure that user queries are not abused by a third party, including the search provider. Fully homomorphic encryption (FHE) can conduct addition and multiplication directly over ciphertext. Using FHE, privacy, concerning both the user queries and the database of the search provider, can be protected. In this paper, we propose a privacy-preserving query system model. We implemented the proposed model in a real-world medicine side-effect query system. We applied a filtering technique, prior to the query deployment, to reduce the size of the database and used multi-threading to accelerate the search. The system was tested 10,000 times with a random query, using a database comprising 40,000 records of simulation data, and completed 99.84% of the queries within 60 seconds (s), proving the real-world applicability of our system.
AB - The preservation of privacy during a search has become a serious problem in recent years. There is an increasing requirement to ensure that user queries are not abused by a third party, including the search provider. Fully homomorphic encryption (FHE) can conduct addition and multiplication directly over ciphertext. Using FHE, privacy, concerning both the user queries and the database of the search provider, can be protected. In this paper, we propose a privacy-preserving query system model. We implemented the proposed model in a real-world medicine side-effect query system. We applied a filtering technique, prior to the query deployment, to reduce the size of the database and used multi-threading to accelerate the search. The system was tested 10,000 times with a random query, using a database comprising 40,000 records of simulation data, and completed 99.84% of the queries within 60 seconds (s), proving the real-world applicability of our system.
KW - Fully homomorphic encryption
KW - Medicine-side effect search
KW - Privacy-preserving query system
UR - http://www.scopus.com/inward/record.url?scp=85123042805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123042805&partnerID=8YFLogxK
U2 - 10.1145/3366030.3366061
DO - 10.1145/3366030.3366061
M3 - Conference contribution
AN - SCOPUS:85123042805
T3 - ACM International Conference Proceeding Series
BT - 21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Proceedings
A2 - Indrawan-Santiago, Maria
A2 - Pardede, Eric
A2 - Salvadori, Ivan Luiz
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery
T2 - 21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019
Y2 - 2 December 2019 through 4 December 2019
ER -
