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Simpler protocols for privacy-preserving disease susceptibility testing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Danezis, George Cristofaro, Emiliano De |
| Copyright Year | 2014 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://seclab.soic.indiana.edu/GenomePrivacy/papers/Genome%20Privacy-paper2.pdf |
| Journal | PETS 2014 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
