Homomorphic encryption (HE) allows direct computations on encrypted data. Despite
numerous research efforts, the practicality of HE schemes remains to be demonstrated. In …

The high volumes of data stored in the cloud, coupled with growing concerns about security
and privacy, have motivated research on homomorphic encryption (HE), ie, a technique that …

Homomorphic encryption is a promising technology for enabling various privacy-preserving
applications such as secure biomarker search. However, current implementations are not …

Recently, an emerging branch of research in the field of fully homomorphic encryption (FHE)
attracts growing attention, where optimizations are carried out in develo** fast and …

Fully homomorphic Encryption (FHE) allows computation on encrypted data without any
decryption. However, the time of operation on encrypted data is far from the process on plain …

Growing use of cloud raises privacy concerns for search in sensitive databases such as
bioinformatics, where homomorphic encryption can help through direct computation–hence …

As computing continues to be used for increasingly private and sensitive operations
impacting all aspects of our lives, the need to maintain tight control of those computations …

A secure version of the naïve Bayesian filter (NBF) is proposed utilizing partially
homomorphic encryption (PHE) scheme. SNBF can be implemented with only the additive …

In this work, we provide the first practical secure email filtering scheme based on
homomorphic encryption. Specifically, we construct a secure naïve Bayesian filter (SNBF) …

Recent technological advance sees a rising need for secure computing protocols. With
cloud computing, data outsourcing and machine learning paradigms widely adopted, large …