Privacy-Preserving Search for a Similar Genomic Makeup in the Cloud

Increasing affordability of genome sequencing and, as a consequence, widespread availability genomic data opens up new opportunities for the field medicine, also evident from emergence popular cloud-based offerings in this area, such Google Genomics [1]. To utilize more efficiently, it is crucial that different entities share their with each other. However, sharing risky mainly due to privacy concerns. In article, we attempt provide privacy-preserving and efficient solution “similar patient search” problem among several parties (e.g., hospitals) by addressing shortcomings previous attempts. We consider scenario which hospital has its own dataset goal physician (or researcher) search similar given one (based on makeup) all hospitals system. enable search, propose hierarchical index structure hospital’s low memory requirement. Furthermore, develop novel merging mechanism generates common individual indices significantly improve efficiency. storage medical information associated diagnosis treatment). allow access via fine-grained control policy through combination standard symmetric encryption ciphertext attribute-based encryption. Using mechanism, can patients obtain about matching records if holds. conduct experiments large-scale show high efficiency proposed scheme.