Sep 15, 2016 · This paper designs efficient fully homomorphic symmetric key encryption (FHE) schemes without bootstrapping (that is, noise-free FHE schemes)
However, existing FHE schemes are inefficient for processing large amount of data in cloud and garbled circuits are one time programs and cannot be reused.
Fully homomorphic encryption (FHE) and garbled circuits are naturally used to process encrypted data without leaking any information about the data. However, ...
Efficient fully homomorphic symmetric key encryption schemes without bootstrapping are designed that are secure in the weak ciphertext-only security model ...
Privacy Preserving Computation in Cloud Using Noise-Free Fully Homomorphic Encryption (FHE) Schemes. https://doi.org/10.1007/978-3-319-45744-4_15 · Full text.
Fully homomorphic encryption (FHE) and garbled circuits are naturally used to process encrypted data without leaking any information about the data. However, ...
By enabling computation on encrypted data, FHE encourages people to share their private data without fear of misuse and allows computation outsourcing with ...
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Multi-key homomorphic encryption(MKHE) can effectively deal with the privacy disclosure issue during the multi-user collaboration in the cloud computing setting ...
We propose an efficient and verifiable noise-free fully homomorphic encryption scheme that uses the ring of Lipschitz's quaternions and permits computations ...
Missing: Preserving | Show results with:Preserving
The proposed FHE schemes are secure in the ciphertext-only security model. The invention further discloses a method for client to carry out privacy preserving ...