Using Private Matching for Securely Querying Genomic Sequences

In general, public services have a severe desire to secure sensitive data from potential access and misuse. For instance, an individual could unwittingly reveal a patient's full name, date of birth, or social security number, resulting in identity theft or misuse of medical records, etc. What we exhibit in this paper through numerous schemes is producing a new strategy devoted towards securing genomic sequences stored in hospitals' databases. Thus the transfer of data between two parties: hospitals and researchers can be efficiently integrated. Furthermore, another aspect we have to encompass is the appropriate methodology and determination of illness variations later used by scientists to find matches privately for human-genome.