Dynamic Privacy-Preserving Genomic Susceptibility Testing

The field of genomic research has considerably grown in the recent years due to the unprecedented advances brought about by Next Generation Sequencing (NGS) and the need and increasing widespread use of outsourced processing. But this rapid increase also poses severe privacy risks due to the inherently sensitive nature of genomic information. In this work,  we address privacy-preserving genetic susceptibility tests outsourced to an untrustworthy party, enhancing previous approaches in terms of computation and communication efficiency by leveraging the use of somewhat homomorphic lattice encryption and relinearization operations to achieve more efficient constructions. Additionally, we also propose a more general construction which deals with several different medical units (such as pharmaceutical companies or hospitals), managing patients' consent  to the disclosure of test results for each of these units, which may dynamically join the system. Our scheme features an attribute-based homomorphic cryptosystem which enables enforcing the patient's access policy referred to the diffrent medical units.