Biometrics now play a crucial role in user identification and authentication. However, storing
biometric features in plaintext and conducting authentication without protection pose a risk of …

Applications for document similarity detection are widespread in diverse communities,
including institutions and corporations. However, currently available detection systems fail to …

The basic pattern matching problem is to find the locations where a pattern occurs in a text.
Recently, secure pattern matching has been received much attention in various areas …

We consider the problem of secure distributed matrix computation (SDMC), where a user
queries a function of data matrices generated at distributed source nodes. We assume the …

Computing on encrypted data is a promising approach to reduce data security and privacy
risks, with homomorphic encryption serving as a facilitator in achieving this goal. In this work …

Somewhat homomorphic encryption is public key encryption supporting a limited number of
additions and multiplications on encrypted data. This encryption gives a powerful tool in …

With traditional data storage solutions becoming too expensive and cumbersome to support
Big Data processing, enterprises are now starting to outsource their data requirements to …

In recent years, there has been enormous research attention in privacy-preserving biometric
authentication, which enables a user to verify him or herself to a server without disclosing …

With widespread development of biometrics, concerns about security and privacy are rapidly
increasing. Homomorphic encryption enables us to operate on encrypted data without …

This paper proposes an efficient face template protection system based on homomorphic
encryption. By develo** a message packing method suitable for the calculation of the …