| ▼ include | |
| ▼ cifer | |
| ▼ abe | |
| dippe.h | This is a decentralized inner-product predicate encryption scheme by Yan Michalevsky and Marc Joye: "Decentralized Policy-Hiding
Attribute-Based Encryption with Receiver Privacy" |
| doc.h | |
| fame.h | This is a ciphertext policy (CP) attribute based (ABE) scheme based on Shashank Agrawal and Melissa Chase: "FAME: Fast Attribute-based Message
Encryption" This scheme enables encrypting a message based on a boolean expression determining which attributes are needed for an entity to be able to decrypt. Each key is connected to some attribute, such that only a set of keys whose attributes are sufficient can decrypt the massage. This scheme is a PUBLIC-KEY scheme - no master secret key is needed to encrypt the messages |
| gpsw.h | Key policy attribute based scheme |
| policy.h | Functions for policy conversion needed for ABE schemes |
| ▼ data | |
| doc.h | |
| mat.h | Matrix struct and operations |
| mat_curve.h | Matrices of elements of an elliptic curve struct and operations on it |
| vec.h | Vector struct and operations |
| vec_curve.h | Vectors of elements of an elliptic curve struct and operations on it |
| vec_float.h | Vector float struct |
| ▼ innerprod | |
| ▼ fullysec | |
| damgard.h | Damgard scheme |
| damgard_dec_multi.h | Damgard style decentralized multi input scheme. The decentralization is based on paper by Abdalla, Benhamouda, Kohlweiss, and Waldner: "Decentralizing Inner-Product Functional Encryption". The participants in the scheme are clients without a central authority. They interactively generate private keys for each client so that client i can encrypt vector x_i. The scheme allows the clients to interactively generate a key_Y, depending on a matrix Y with rows y_i, so that given key_Y and the ciphertexts the decryptor can compute value Σ_i <x_i, y_i> (sum of dot products) |
| damgard_multi.h | Damgard multi input scheme |
| dmcfe.h | Decentralized multi-client inner-product scheme based on the paper "Decentralized Multi-Client Functional Encryption for Inner Product" by Chotard, Dufour Sans, Gay, Phan, and Pointcheval |
| doc.h | |
| fh_multi_ipe.h | // FH-Multi-IPE represents a Function Hiding Multi-client Inner Product Encryption scheme based on the paper by P. Datta, T. Okamoto, and J. Tomida: "Full-Hiding (Unbounded) Multi-Input Inner Product Functional Encryption
from the 𝒌-Linear Assumption". It allows clients to encrypt vectors {x_1,...,x_m} and derive a secret key based on an inner product vectors {y_1,...,y_m} so that a decryptor can decrypt the sum of inner products <x_1,y_1> + ... + <x_m, y_m> without revealing vectors x_i or y_i. The scheme is slightly modified from the original one to achieve a better performance. The difference is in storing the secret master key as matrices B_hat, B_hat_star, instead of matrices of elliptic curve elements g_1^B_hat, g_2^B_hat_star. This replaces elliptic curves operations with matrix multiplications |
| fhipe.h | // FHIPE represents a Function Hiding Inner Product Encryption scheme based on the paper by Kim, Lewi, Mandal, Montgomery, Roy, Wu: "Function-Hiding Inner Product Encryption is Practical". It allows to encrypt a vector x and derive a secret key based on an inner product vector y so that a deryptor can decrypt the inner product <x,y> without revealing x or y |
| lwe_fs.h | LWE scheme |
| paillier.h | Paillier scheme |
| ▼ simple | |
| ddh.h | DDH scheme |
| ddh_multi.h | DDH multi input scheme |
| doc.h | |
| lwe.h | LWE scheme |
| ring_lwe.h | LWE scheme |
| doc.h | |
| ▼ internal | |
| big.h | Functionalities for transformating mpz_t and BIG_256_56 integers |
| common.h | Common library functionality |
| dlog.h | Algorithms for computing discrete logarithms |
| doc.h | |
| errors.h | Error definitions |
| hash.h | Definitions of functions related to hashing |
| keygen.h | ElGamal key generation |
| prime.h | Prime number related functions |
| str.h | Internal functions for dealing with strings |
| ▼ quadratic | |
| sgp.h | SGP scheme |
| ▼ sample | |
| doc.h | |
| normal.h | Normal sampler |
| normal_cdt.h | Normal sampler that samples from small fixed half-Gaussian distribution |
| normal_cumulative.h | Normal cumulative sampler |
| normal_double.h | Normal double sampler |
| normal_double_constant.h | Normal constant time sampler based on double sampling |
| normal_negative.h | Normal negative sampler |
| uniform.h | Uniform samplers |
| ▼ serialization | |
| data.pb-c.h | |
| data_ser.h | |
| fame.pb-c.h | |
| fame_ser.h | |
| gpsw.pb-c.h | |
| gpsw_ser.h | |
| test.h | |
