With the rapid development of bioinformatics and the availability of genetic sequencing technologies, genomic data has been used to facilitate personalized 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 P2GT which utilizes key-policy attribute-based encryption to realize genomic data access control with unbounded attributes, and employs equality test algorithm to achieve personalized medicine test by matching digitized single nucleotide polymorphisms (SNPs) directly on the users' ciphertext without encrypting multiple times. We then propose an enhanced scheme P2GT+, which adopts identity-based encryption with equality test supporting flexible joint authorization to realize privacy-preserving paternity test, genetic compatibility test and disease susceptibility test over the encrypted SNPs with P2GT. We prove the security of proposed schemes and conduct extensive experiments with the 1000 Genomes dataset. The results show that P2GT and P2GT+ are practical and scalable enough to meet the privacy-preserving and authorized genetic testing requirements in cloud computing.

中文翻译：

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P2GT：精细的基因组数据访问控制，具有云计算中的隐私保护测试。

随着生物信息学的迅速发展和基因测序技术的可用性，基因组数据已被用于促进个性化医学。云计算具有低成本，丰富的存储和快速处理的功能，可以精确地应对海量基因组数据的出现所带来的挑战。考虑到云平台的安全性和基因组数据的私密性，我们首先介绍了P2GT，它利用基于密钥策略属性的加密来实现具有无限属性的基因组数据访问控制，并采用相等性测试算法通过匹配数字化单机来实现个性化的医学测试。直接在用户密文上的核苷酸多态性（SNP），无需多次加密。然后，我们提出一种增强方案P2GT +，它采用基于身份的加密和相等性测试，并支持灵活的联合授权，以对使用P2GT加密的SNP实现隐私保护性亲子鉴定，遗传相容性检验和疾病易感性检验。我们证明了所提出方案的安全性，并使用1000个基因组数据集进行了广泛的实验。结果表明，P2GT和P2GT +实用且可扩展，足以满足云计算中的隐私保护和授权的基因测试要求。