Fast and scalable private genotype imputation using machine learning and partially homomorphic encryption

Privacy preserving biometrics using partially homomorphic encryption

We will look into privacy preserving biometrics using the example of a fingerprint reader and partially homomorphic encryption. Therefore we will cover the basics necessary to understand the discussed subject, partially homomorphic encryption and fingerprint based authentication, as well as showing a concrete protocol and its implications on performance and security of the system. While securit...

Private Database Queries Using Somewhat Homomorphic Encryption

In a private database query system, a client issues queries to a database and obtains the results without learning anything else about the database and without the server learning the query. While previous work has yielded systems that can efficiently support disjunction queries, performing conjunction queries privately remains an open problem. In this work, we show that using a polynomial enco...

Analysis of Partially and Fully Homomorphic Encryption

Private Compound Wildcard Queries using Fully Homomorphic Encryption

Fully homomorphic encryption (FHE) brings a paradigm shift in cryptographic engineering by enabling us to resolve various unsolved problems. Among them, this work solves the problem to design a private database query (PDQ) protocol that supports compound queries with wildcard conditions on encrypted databases using FHE. More precisely, we consider a setting where clients outsource an encrypted ...

Partially Homomorphic Encryption Schemes over Finite Fields

Homomorphic encryption scheme enables computation in the encrypted domain, which is of great importance because of its wide and growing range of applications. The main issue with the known fully (or partially) homomorphic encryption schemes is the high computational complexity and large communication cost required for their execution. In this work, we study symmetric partially homomorphic encry...