Efficient and secure computation of edit distance on genomic data

Abstract excerpt

<h4>Background: </h4> Genetic information are the most sensitive data for a person and must be protected from malicious attacks. In this paper we focus on the application of secure multi-party computation, a subfield of cryptography, to the computation of edit distance, one of the most used metrics among genetic similarity indicators, useful for the diagnosis and treatment of many genetically based diseases. <h4>R...

Topics

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• Algorithms
• Confidentiality
• Forensic Genetics
• Genome-Wide Association Study
• Genomics
• Mutation
• Polymorphism, Single Nucleotide
• Privacy

Identifiers and source

Literature Corpus work

d9e477e8-e991-539a-90a6-6af296d1ab66

DOI

10.21203/rs.3.rs-2176027/v1