Simpler Protocols for Privacy-Preserving Disease Susceptibility Testing

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 [4]. 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.