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Multivariate cryptography

Multivariate cryptography is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Multivariate cryptography rather than just read about it. In short: Multivariate cryptography is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over a finite field F {\displaystyle F} . In certain cases, those polynomials could be defined over both a ground and an extension field.

Key takeaways

  • Multivariate cryptography belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Multivariate cryptography to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Multivariate cryptography from memory before moving on to harder problems.

Reference excerpt

Multivariate cryptography is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over a finite field F {\displaystyle F} . In certain cases, those polynomials could be defined over both a ground and an extension field. If the polynomials have degree two, we talk about multivariate quadratics. Solving systems of multivariate polynomial equations is proven to be NP-complete. Those schemes are often considered to be good candidates for post-quantum cryptography. Multivariate cryptography has been very productive in terms of design and cryptanalysis. Overall, the situation is now more stable and the strongest schemes have withstood the test of time. It is commonly admitted that Multivariate cryptography turned out to be more successful as an approach to build signature schemes primarily because multivariate schemes provide the shortest signature among post-quantum algorithms.

History Tsutomu Matsumoto and Hideki Imai (1988) presented their so-called C* scheme at the Eurocrypt conference. Although C* has been broken by Jacques Patarin (1995), the general principle of Matsumoto and Imai has inspired a generation of improved proposals. In later work, the "Hidden Monomial Cryptosystems" was developed by (in French) Jacques Patarin. It is based on a ground and an extension field. "Hidden Field Equations" (HFE), developed by Patarin in 1996, remains a popular multivariate scheme today [P96]. The security of HFE has been thoroughly investigated, beginning with a direct Gröbner basis attack [FJ03, GJS06], key-recovery attacks (Kipnis & Shamir 1999) [BFP13], and more. The plain version of HFE is considered to be practically broken, in the sense that secure parameters lead to an impractical scheme. However, some simple variants of HFE, such as the minus variant and the vinegar variant allow one to strengthen the basic HFE against all known attacks. In addition to HFE, Patarin developed other schemes. In 1997 he presented “Balanced Oil & Vinegar” and in 1999 “Unbalanced Oil and Vinegar”, in cooperation with Aviad Kipnis and Louis Goubin (Kipnis, Patarin & Goubin 1999). Four multivariate cryptography signature schemes (GeMMS, LUOV, Rainbow and MQDSS) made their way into the 2nd round of the NIST post-quantum competition: see slide 12 of the report. The Rainbow scheme advanced to round 3 until it was broken in 2022, and none of the others were left by round 4.

Construction Multivariate Quadratics involves a public and a private key. The private key consists of two affine transformations, S and T, and an easy to invert quadratic map P ′ : F m → F n {\displaystyle P'\colon F^{m}\rightarrow F^{n}} . We denote the n × n {\displaystyle n\times n} matrix of the affine endomorphisms

S : F n → F n {\displaystyle S\colon F^{n}\rightarrow F^{n}} by M S {\displaystyle M_{S}} and the shift vector by v S ∈ F n {\displaystyle v_{S}\in F^{n}} and similarly for T : F m → F m {\displaystyle T\colon F^{m}\rightarrow F^{m}} . In other words,

S ( x ) = M S x + v S {\displaystyle S(x)=M_{S}x+v_{S}} and

T ( y ) = M T y + v T {\displaystyle T(y)=M_{T}y+v_{T}} . The triple ( S − 1 , P ′ − 1 , T − 1 ) {\displaystyle (S^{-1},{P'}^{-1},T^{-1})} is the private key, also known as the trapdoor. The public key is the composition P = S ∘ P ′ ∘ T {\displaystyle P=S\circ P'\circ T} which is by assumption hard to invert without the knowledge of the trapdoor.

Signature Signatures are generated using the private key and are verified using the public key as follows. The message is hashed to a vector in y ∈ F n {\displaystyle y\in F^{n}} via a known hash function. The signature is

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Multivariate cryptography

Start with the simplest possible case. Write down what Multivariate cryptography claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Multivariate cryptography before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Multivariate cryptography ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Multivariate cryptography

In research
Multivariate cryptography appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Multivariate cryptography in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Multivariate cryptography is common in secondary-school and first-year university syllabi. It links to neighbouring topics Multivariate cryptography, Post-quantum cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for Multivariate cryptography outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Multivariate cryptography in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Multivariate cryptography means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Multivariate cryptography out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Multivariate cryptography in simple terms?

Multivariate cryptography is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over a finite field F {\displaystyle F} . In certain cases, those polynomials could be defined over both a ground and an extension field.

Why does Multivariate cryptography matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Multivariate cryptography?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Multivariate cryptography.

Tags

  • Multivariate cryptography
  • Post-quantum cryptography

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