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Balancing Security and Privacy in Genomic Range Queries
- Source :
- WPES@CCS
- Publication Year :
- 2023
- Publisher :
- Association for Computing Machinery (ACM), 2023.
-
Abstract
- Exciting recent advances in genome sequencing, coupled with greatly reduced storage and computation costs, make genomic testing increasingly accessible to individuals. Already today, one’s digitized DNA can be easily obtained from a sequencing lab and later used to conduct numerous tests by engaging with a testing facility. Due to the inherent sensitivity of genetic material and the often-proprietary nature of genomic tests, privacy is a natural and crucial issue. While genomic privacy received a great deal of attention within and outside the research community, genomic security has not been sufficiently studied. This is surprising since the usage of fake or altered genomes can have grave consequences, such as erroneous drug prescriptions and genetic test outcomes. Unfortunately, in the genomic domain, privacy and security (as often happens) are at odds with each other. In this article, we attempt to reconcile security with privacy in genomic testing by designing a novel technique for a secure and private genomic range query protocol between a genomic testing facility and an individual user. The proposed technique ensures authenticity and completeness of user-supplied genomic material while maintaining its privacy by releasing only the minimum thereof. To confirm its broad usability, we show how to apply the proposed technique to a previously proposed genomic private substring matching protocol. Experiments show that the proposed technique offers good performance and is quite practical. Furthermore, we generalize the genomic range query problem to sparse integer sets and discuss potential use cases.
- Subjects :
- Novel technique
0303 health sciences
Range query (data structures)
General Computer Science
business.industry
Computer science
02 engineering and technology
Computer security
computer.software_genre
03 medical and health sciences
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Personalized medicine
business
Safety, Risk, Reliability and Quality
computer
030304 developmental biology
Subjects
Details
- ISSN :
- 24712574 and 24712566
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Privacy and Security
- Accession number :
- edsair.doi.dedup.....c31a3ef4670e0e0c827385de9afb5b9a
- Full Text :
- https://doi.org/10.1145/3575796