Computation on Encrypted Data Using Dataflow Authentication

Computation on Encrypted Data using Data Flow Authentication

Encrypting data before sending it to the cloud protects it against hackers and malicious insiders, but requires the cloud to compute on encrypted data. Trusted (hardware) modules, e.g., secure enclaves like Intel’s SGX, can very efficiently run entire programs in encrypted memory shielding it from the administrator’s view. However, it already has been demonstrated that software vulnerabilities ...

Towards Robust Computation on Encrypted Data

Encryption schemes that support computation on encrypted data are useful in constructing efficient and intuitively simple cryptographic protocols. However, the approach was previously limited to stand-alone and/or honest-but-curious security. In this work, we apply recent results on “non-malleable homomorphic encryption” to construct new protocols with Universally Composable security against ac...

Private Computation on Encrypted Genomic Data

A number of databases around the world currently host a wealth of genomic data that is invaluable to researchers conducting a variety of genomic studies. However, patients who volunteer their genomic data run the risk of privacy invasion. In this work, we give a cryptographic solution to this problem: to maintain patient privacy, we propose encrypting all genomic data in the database. To allow ...

An Authentication Protocol with Encrypted Biometric Data

Secure Multi-party Computation Using Virtual Parties for Computation on Encrypted Data

In this paper, we propose a new Virtual Party Protocol (VPP) protocol for Secure Multi-Party Computation (SMC). There are many computations and surveys which involve confidential data from many parties or organizations. As the concerned data is property of the organization or the party, preservation and security of this data is of prime importance for such type of computations. Although the com...