knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
Load libraries that will be used.
library(polynom) library(HomomorphicEncryption)
Set a working seed for random numbers (so that random numbers can be replicated exactly).
set.seed(123)
Set some parameters.
M <- 8 N <- M / 2 scale <- 200 xi <- complex(real = cos(2 * pi / M), imaginary = sin(2 * pi / M))
Create the (complex) numbers we will encode.
z <- c(complex(real=3, imaginary=4), complex(real=2, imaginary=-1)) print(z)
Now we encode the vector of complex numbers to a polynomial.
m <- encode(xi, M, scale, z)
Let's view the result.
print(m)
Set some parameters.
d = 4 n = 2^d p = (n/2)-1 q = 874 pm = GenPolyMod(n)
Create the secret key and the polynomials a and e, which will go into the public key
# generate a secret key s = GenSecretKey(n) # generate a a = GenA(n, q) # generate the error e = GenError(n)
Generate the public key.
pk0 = GenPubKey0(a, s, e, pm, q) pk1 = GenPubKey1(a)
Create polynomials for the encryption
# polynomials for encryption e1 = GenError(n) e2 = GenError(n) u = GenU(n)
Generate the ciphertext
ct0 = CoefMod((pk0*u + e1 + m) %% pm, q) ct1 = EncryptPoly1(pk1, u, e2, pm, q)
Decrypt
decrypt = (ct1 * s) + ct0 decrypt = decrypt %% pm decrypt = CoefMod(decrypt, q) print(decrypt[1:length(m)])
Let's decode to obtain the original number:
decoded_z <- decode(xi, M, scale, polynomial(decrypt[1:length(m)])) print(decoded_z)
The decoded z is indeed very close to the original z, we round the result to make the clearer.
round(decoded_z)
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