Difference between revisions of "Fully Homomorphic Encryption without Modulus Switching"
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* Regev.Enc(<math>pk, m </math>): To encrypt a message <math> m \in \{0,1 \} </math> using <math>pk=P </math>, sample <math>r \in \{ 0,1\}^N </math> uniformly and output the ciphertext | * Regev.Enc(<math>pk, m </math>): To encrypt a message <math> m \in \{0,1 \} </math> using <math>pk=P </math>, sample <math>r \in \{ 0,1\}^N </math> uniformly and output the ciphertext | ||
− | <center><math>c := \left[ P^T \cdot r+ \left\ | + | |
+ | <center><math>c := \left[ P^T \cdot r+ \left\lfloor \frac{q}{2} \right\rfloor \cdot \hat m \right]_q \in \mathbb Z_q^{n+1} </math> .</center> | ||
where <math> \hat m := (m,0,\dots, 0) \in \{0,1 \}^{n+1} </math>. | where <math> \hat m := (m,0,\dots, 0) \in \{0,1 \}^{n+1} </math>. | ||
Revision as of 13:16, 18 January 2021
This scheme proposed by Brakerski [1] has a number of advantages over previous candidates such as BGV. In particular, it uses the same modulus throughout the evaluation process, so there's no need for modulus switching. Security of these scheme is baed on the hardness of the GapSVP problem.
Preliminaries
For an integer , write . This is not the same with the ring . For any , write for the unique value in that is congruent to modulo .
If are two -dimensional vectors, then the tensor product is the dimensional vector containing all elements of the form . Note that
Building Blocks of a homomorphic encryption scheme
We start by presenting Regev's [2] basic public-key encryption scheme.
Let be an integer function and let be a distribution over . The scheme 'Regev' is defined as follows:
- Regev.SecretKeygen( ): Sample uniformly. Output .
- Regev.PublicKeygen(): Let . Sample uniformly then sample . Compute . Here we apply to every entry in the -dimensional vector and define
Output .
- Regev.Enc(): To encrypt a message using , sample uniformly and output the ciphertext
where .
- Regev.Dec(): To decrypt using the secret key , compute
References
- ↑ Z. Brakerski, Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP. In: Safavi-Naini R., Canetti R. (eds) Advances in Cryptology – CRYPTO 2012. CRYPTO 2012. Lecture Notes in Computer Science, vol 7417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32009-5_50
- ↑ O. Regev. On lattices, learning with errors, random linear codes, and cryptography. In Harold N. Gabow and Ronald Fagin, editors, STOC, pages 84–93. ACM, 2005