Ayday, Erman2018-04-122018-04-122016-020302-9743http://hdl.handle.net/11693/37500Date of Conference: 22-26 February, 2016Conference name: FC: International Conference on Financial Cryptography and Data Security - FC 2016 International Workshops, BITCOIN, VOTING, and WAHCWith the help of rapidly developing technology, DNA sequencing is becoming less expensive. As a consequence, the research in genomics has gained speed in paving the way to personalized (genomic) medicine, and geneticists need large collections of human genomes to further increase this speed. Furthermore, individuals are using their genomes to learn about their (genetic) predispositions to diseases, their ancestries, and even their (genetic) compatibilities with potential partners. This trend has also caused the launch of health-related websites and online social networks (OSNs), in which individuals share their genomic data (e.g., OpenSNP or 23andMe). On the other hand, genomic data carries much sensitive information about its owner. By analyzing the DNA of an individual, it is now possible to learn about his disease predispositions (e.g., for Alzheimer’s or Parkinson’s), ancestries, and physical attributes. The threat to genomic privacy is magnified by the fact that a person’s genome is correlated to his family members’ genomes, thus leading to interdependent privacy risks. In this work, focusing on our existing and ongoing work on genomic privacy, we will first highlight one serious threat for genomic privacy. Then, we will present the high level descriptions of our cryptographic solutions to protect the privacy of genomic data. © International Financial Cryptography Association 2016.EnglishCryptographyDNA sequencesElectronic moneyGene encodingOnline systemsSocial networking (online)DNA SequencingGenomic dataHigh level descriptionHuman genomesOnline social networks (OSNs)Potential partnersPrivacy risksSensitive informationsGenesConference Paper10.1007/978-3-662-53357-4_22