fully homomorphic encryption

Fully Homomorphic Encryption

Paper by: Craig GentryPresented By: Daniel Henneberger

What is homomorphic encryption?

Computations on ciphertext which predictably modifies the plaintext

Operate on messages while they are encrypted

Data can be securely processed in unsecure environments◦ Cloud Computing◦ Databases◦ Voting machines

Homomorphic Encryption

How it works

How it works

Keygen Encrypt Decrypt Evaluate

1978 – Privacy Homomorphism

US government pumps millions in it

History

Additive◦ E(m1) + E(m2) = E(m1+m2)

Multiplicative◦E(m1) * E(m2) = E(m1*m2)

Why just Add and Mul? ◦ Can evaluate any function◦ Turing complete over a ring

Types of Homomorphism

Somewhat Homomorphic◦ You can do only do some functions◦ RSA

Fully Homomorphic◦ You can do all functions

Leveled Fully Homomorphic◦ Keysize can grow with depth of the function

Bootstrappable◦ Can evaluate its own decryption circuit

Types of Homomorphism

Fully Homomorphic Encryption Using Ideal

LatticesCraig Gentry

Stanford University and IBM Watson2009

“Most unbearably complicated topic ever” –Craig Gentry

Before this paper, it was unknown if fully homomorphic encryption could exist

First feasible result Holy grail of encryption

17 results on YouTube!

Importance of this topic

Ideal lattices are a form of difficult to compute mathematical problems

Similar to:◦ Integer Factorization◦ Discrete logarithm problem ◦ Elliptic curves over finite fields (Elliptical curve)

Closest vector problem Learning with errors Unbreakable with quantum computing

◦ Uses arbitrary approximations

MATH: Lattice

Illustration - A lattice in R2

borrowed from tau.ac.il“Recipe”:1. Take two linearly independent vectors in R2.2. Close them for addition and for multiplication by an integer scalar.

Each point corresponds to a vector in the lattice

etc. ... etc. ...

A cyclic lattice is ‘ideal’ (ring-based) NTRU – Asymmetric key cryptosystem that

uses ring-based lattices

Low circuit complexity Very fast Allows additive and multiplicative

homomorphism

MATH: Ideal Lattice

Lots of math involved with this:◦ Cyclotomic Polynomials

Too much for this class time

More MATH

Evaluate(pk,C, Encrypt(pk,m1),..., Encrypt(pk,mt)) = Encrypt(pk,C(m1,..., mt))

Steps◦ Create a general bootstrapping result◦ Initial construction using ideal lattices◦ Squash the decryption circuit to permit

bootstrapping

Advances

General Bootstrapping Result

Find a Public key scheme that is homomorphic for shallow circuits and uses ideal lattices◦ NTRUEncrypt

Ciphertext has a form of an ideal lattice + offset

Use a cyclic ring of keys◦ Hard to do◦ Large key size (GB)

Initial construction using ideal lattices

“Squash the Decryption Circuit”

Evaluate its own decryption circuit Provides ability to recrypt plaintext Must be allowed to recrypt augmented

versions to provide mathematical operations

Bootstrap Requirements

Allows ‘unlimited’ additions◦ Recrypt algorithm

Greater multiplicative depth◦ log log (N) - log log (n-1)◦ Still bad

Improvements

Can only evaluate in logarithmic depth◦ Ciphertext grows ◦ Noise increases

Addition- circuits can be corrected (recrypting) Multiplication- noise grows quickly

Not yet practical◦ Client must begin the decryption process to be

bootstrappable◦ Solution is approximate◦ >1 day to compute 1 message

Disadvantages

PollyCracker Fully Homomorphic Encryption over the

Integers Fully Homomorphic Encryption over the

Binary Polynomials

Implementations

Many people have created new variants Implementations All slow

Finding shortcuts

AES-128 – Completed June 15th 2012◦ Computed with 256GB of ram (still limiting factor)◦ 24 Xeon cores◦ Took 5 days per operation

Since this paper