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Secure Testing for Genetic Diseases on Encrypted Genomes with Homomorphic Encryption Scheme
Joint Authors
Wang, Xu An
Yang, XiaoYuan
Zhou, TanPing
Li, Ning Bo
Lv, Li Qun
Ding, Yi Tao
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The decline in genome sequencing costs has widened the population that can afford its cost and has also raised concerns about genetic privacy.
Kim et al.
present a practical solution to the scenario of secure searching of gene data on a semitrusted business cloud.
However, there are three errors in their scheme.
We have made three improvements to solve these three errors.
(1) They truncate the variation encodings of gene to 21 bits, which causes LPCE error and more than 5% of the entries in the database cannot be queried integrally.
We decompose these large encodings by 44 bits and deal with the components, respectively, to avoid LPCE error.
(2) We abandon the hash function used in Kim’s scheme, which may cause HCE error with a probability of 2-22 and decompose the position encoding of gene into three parts with the basis 211 to avoid HCE error.
(3) We analyze the relationship between the parameters and the CCE error and specify the condition that parameters need to satisfy to avoid the CCE error.
Experiments show that our scheme can search all entries, and the probability of searching error is reduced to less than 2-37.4.
American Psychological Association (APA)
Zhou, TanPing& Li, Ning Bo& Yang, XiaoYuan& Lv, Li Qun& Ding, Yi Tao& Wang, Xu An. 2018. Secure Testing for Genetic Diseases on Encrypted Genomes with Homomorphic Encryption Scheme. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1214155
Modern Language Association (MLA)
Zhou, TanPing…[et al.]. Secure Testing for Genetic Diseases on Encrypted Genomes with Homomorphic Encryption Scheme. Security and Communication Networks No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1214155
American Medical Association (AMA)
Zhou, TanPing& Li, Ning Bo& Yang, XiaoYuan& Lv, Li Qun& Ding, Yi Tao& Wang, Xu An. Secure Testing for Genetic Diseases on Encrypted Genomes with Homomorphic Encryption Scheme. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1214155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214155