We construct a simple public-key encryption scheme that supports polynomially many ad-ditions and one multiplication, similar to the cryptosystem of Boneh, Goh, and Nissim (BGN). Security is based on the hardness of the learning with errors (LWE) problem, which is known to be as hard as certain worst-case lattice problems. Some features of our cryptosystem include support for large message space, an easy way of achieving formula-privacy, a better message-to-ciphertext expansion ratio than BGN, and an easy way of multiplying two encrypted polynomials. Also, the scheme can be made identity-based and leakage-resilient (at the cost of a higher message-to-ciphertext expansion ratio).
In an attribute-based encryption (ABE) scheme, a ciphertext is associated with an ℓ-bit public index...
International audienceSince the seminal paper on Fully Homomorphic Encryption (FHE) by Gentry in 200...
We construct an efficient identity based encryption system based on the standard learning with error...
Since its proposal by Regev in 2005, the Learning With Errors (LWE) problem was used as the underlyi...
Practical hardness results are necessary to select parameters for cryptographic schemes. Cryptograph...
© 2019, International Association for Cryptologic Research. Middle-product learning with errors (MP-...
Abstract. We consider public key encryption based on the learning with errors problem (LWE). There a...
International audienceHomomorphic encryption allows to carry out operations on encrypted data. In th...
Eprint archive postingA traitor tracing scheme is a multi-receiver encryption scheme where malicious...
There has been a great deal of work on improving the efficiency of fully homomorphic encryption (FHE...
Digital signatures and encryption schemes constitute arguably an integral part of cryptographic sche...
In The Second Theory of Cryptography Conference (TCC 2005), Boneh, Goh, and Nissim proposed a new st...
We use the learning with errors (LWE) problem to build a new simple and provably secure key exchange...
Basing on Learning with errors over rings (RLWE) assumption, we provide a new multi-bit somewhat hom...
International audienceSelective opening (SO) security refers to adversaries that receive a number of...
In an attribute-based encryption (ABE) scheme, a ciphertext is associated with an ℓ-bit public index...
International audienceSince the seminal paper on Fully Homomorphic Encryption (FHE) by Gentry in 200...
We construct an efficient identity based encryption system based on the standard learning with error...
Since its proposal by Regev in 2005, the Learning With Errors (LWE) problem was used as the underlyi...
Practical hardness results are necessary to select parameters for cryptographic schemes. Cryptograph...
© 2019, International Association for Cryptologic Research. Middle-product learning with errors (MP-...
Abstract. We consider public key encryption based on the learning with errors problem (LWE). There a...
International audienceHomomorphic encryption allows to carry out operations on encrypted data. In th...
Eprint archive postingA traitor tracing scheme is a multi-receiver encryption scheme where malicious...
There has been a great deal of work on improving the efficiency of fully homomorphic encryption (FHE...
Digital signatures and encryption schemes constitute arguably an integral part of cryptographic sche...
In The Second Theory of Cryptography Conference (TCC 2005), Boneh, Goh, and Nissim proposed a new st...
We use the learning with errors (LWE) problem to build a new simple and provably secure key exchange...
Basing on Learning with errors over rings (RLWE) assumption, we provide a new multi-bit somewhat hom...
International audienceSelective opening (SO) security refers to adversaries that receive a number of...
In an attribute-based encryption (ABE) scheme, a ciphertext is associated with an ℓ-bit public index...
International audienceSince the seminal paper on Fully Homomorphic Encryption (FHE) by Gentry in 200...
We construct an efficient identity based encryption system based on the standard learning with error...