Bilkent University
Department of Computer Engineering


Quantification and Protection of Genomic Privacy and Health Data


Sinem Sav
MS Student
Computer Engineering Department
Bilkent University

Health data and genomic data is very sensitive in terms of carrying private information about individuals. One can infer inherited/genetic disorders or their occurrence probabilities, information about race and kinship by analyzing the individual’s genomic data. Furthermore, healthcare data which is mostly collected by hospitals or other health institutions also carries private information about individuals including the diseases they have at present, or indicators of future disorders/diseases. While protecting the data, it is important to show that utility is preserved and maximized. Regarding these facts, homomorphic encryption using Paillier Cryptosystem for the protection of health data and watermarking scheme for the privacy of genomic data is proposed. In this work, homomorphic encryption is used for the health data to show the ability of performing mathematical operations on the encrypted data without decrypting it. Lastly, watermarking scheme for sequential data which is the genomic data is performed to overcome the liability issues due to sharing of genomic data by service providers and individuals.


DATE: 05 March, 2018, Monday, CS590 & CS690 presentations begin at @ 15:40