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| With the rapid development of bioinformatics and the availability of genetic sequencing technologies, genomic data ushers in a new era of precision medicine. Cloud computing, features as low cost, rich storage and rapid processing can precisely respond to the challenges brought by the emergence of massive genomic data. Considering the security of cloud platform and the privacy of genomic data, we firstly introduce PPMT which utilizes key-policy attribute-based encryption (KP-ABE) to realize genomic data access control with abundant attributes, and employs KP-ABE with equality test to achieve personalized medicine test by matching digitized single nucleotide polymorphisms (SNPs) directly on the users' ciphertext without encrypting multiple times. We conduct extensive experiments with the dataset ``1000 Genomes", and the results show that PPMT can greatly reduce the computation and communication overhead compared with existing schemes and are practical enough test authorization requirements. |
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| Keywords:Genomic privacy; access control; attribute-based encryption; equality test; personalized medicine test |
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