Ring learning with errors key exchange: Difference between revisions

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The RLWE-KEX uses polynomials which are considered "small" with respect to a measure called the "[[infinity norm]]." The infinity norm for a polynomial is simply the value of the largest coefficient of the polynomial when the coefficients are considered as integers in Z rather than <math>Zq</math>(i.e.from the set {-(q-1)/2,..., 0, ... (q-1)/2} ). The algorithm's security depends on an ability to generate random polynomials which are small with respect to the infinity norm. This is done simply by randomly generating the coefficients for a polynomial (s<sub>n-1</sub>, ..., s<sub>0</sub>) which are guaranteed or very likely to be small. There are two common ways to do this:
# Using [[Uniform distribution (discrete)|Uniform Sampling]] - The coefficients of the small polynomial are uniformly sampled from a set of small coefficients. Let b be an integer that is much less than q. If we randomly choose coefficients from the set: { -b, -b+1, -b+2. ... -2, -1, 0, 1, 2, ... , b-2, b-1, b} the polynomial will be small with respect to the bound (b). Singh suggest using b = 5.<ref name=":1" /> Thus coefficients would be chosen from the set { q-5, q-4, q-3, q-2, q-1, 0, 1, 2, 3, 4, 5 }.
# Using [[Gaussian distribution|Discrete Gaussian]] Sampling - For an odd value for q, the coefficients are randomly chosen by sampling from the set { -(q-1)/2 to (q-1)/2 } according to a discrete Gaussian distribution with mean 0 and distribution parameter σ. The references describe in full detail how this can be accomplished. It is more complicated than uniform sampling but it allows for a proof of security of the algorithm. An overview of Gaussian sampling is found in a presentation by Peikert.<ref>{{Cite web|title = An Efficient and Parallel Gaussian Sampler for Lattices|url = httphttps://wwwweb.cceecs.gatechumich.edu/~cpeikert/pubs/slides-pargauss.pdf|website = www.cc.gatech.edu|accessdate = 2015-05-29}}</ref>
For the rest of this article, the random small polynomials will be sampled according to a distribution which is simply specified as '''D'''. Further q will be an odd prime such that q is congruent to 1 mod 4 and 1 mod 2n. Other cases for q and n are thoroughly discussed in "A Toolkit for Ring-LWE Cryptography" and in Singh's "Even More Practical Key Exchange for the Internet using Lattice Cryptography."<ref name=":2">{{Cite journal|last=Lyubashevsky|first=Vadim|last2=Peikert|first2=Chris|last3=Regev|first3=Oded|date=2013|title=A Toolkit for Ring-LWE Cryptography|url=http://eprint.iacr.org/2013/293}}</ref><ref>{{Cite web|title = Cryptology ePrint Archive: Report 2015/1120|url = http://eprint.iacr.org/2015/1120|website = eprint.iacr.org|access-date = 2016-01-17}}</ref> and another paper by Singh. A fixed public polynomial, a(x), shared by all users of the network. It is deterministically generated from a cryptographically secure source.