1 / 8

Privacy Preserving Data Dissemination

Privacy Preserving Data Dissemination. Dr. Murat Kantarcioglu (muratk@utdallas.edu) Harichandan Roy ( harichandan.roy@utdallas.edu) Data Security and Privacy Lab UT Dallas. What is Task 1?. Given- case/control datasets Desired result- perturbed datasets. Method applied. snps. snps.

seamus
Download Presentation

Privacy Preserving Data Dissemination

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Privacy Preserving Data Dissemination Dr. Murat Kantarcioglu (muratk@utdallas.edu) HarichandanRoy (harichandan.roy@utdallas.edu) Data Security and Privacy Lab UT Dallas

  2. What is Task 1? • Given- case/control datasets • Desired result- perturbed datasets Method applied snps snps Case Control Perturbed snps Desired Result anonymous

  3. Proposed Method: NCBI Added Noise • Main Idea: Keep the significant SNPs MAFs, add noise to non-significant SNPs MAFs • For significant snips • Define significant and non-significant snips based on p-value using pLink (significant if p is less than 0.05) • Keep MAF as it is in case

  4. Proposed Method: NCBI Added Noise • For non-significant snips • Take variance of MAF in case • Get gaussian random values, noises, with mean = 0 and std = (a*Math.sqrt(var)), where a = 3. • Finally, add noise to NCBI MAF • If NCBI MAF does not exist, add noise to average MAF of case and control • Order all perturbed MAFs as in case file

  5. Flow Diagram

  6. Results • For chr2, • Used NCBI Added Noise Method • Got power ≈ 8 <20 • For chr10, • Used Average Case/Control Method • Got power ≈ 8 <20 • Power ≈ 8 <20 • It means desired level of privacy is preserved • Results are not always same

  7. Other Tries

  8. Questions?

More Related