%0 Generic
%A Danezis, George
%A De Cristofaro, Emiliano
%C Indianapolis, IN, USA
%D 2014
%E De Cristofaro, Emiliano
%E Murdoch, Steven J
%F discovery:1450428
%I School of Informatics and Computing, Indiana University
%T Simpler protocols for privacy-preserving disease susceptibility testing
%U https://discovery.ucl.ac.uk/id/eprint/1450428/
%X This short paper presents a preliminary description of two new protocols  for privacy-preserving disease susceptibility testing, following  the model proposed by Ayday et al. in [5]. We show that an  alternative encoding of the patient’s SNPs can simplify private computations,  and make patient-side computation on a trusted smartcard  device extremely efficient. To support larger tests, we propose a second  protocol variant based on secret sharing that is also simpler than  the original proposal, and relies on more efficient primitives.
%Z This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.