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Lattice-based cryptography

Lattice-based 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 Lattice-based cryptography rather than just read about it. In short: Lattice-based cryptography is the generic term for constructions of cryptographic primitives that involve lattices, either in the construction itself or in the security proof. Lattice-based constructions support important standards of post-quantum cryptography.

Key takeaways

  • Lattice-based 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 Lattice-based cryptography to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Lattice-based cryptography from memory before moving on to harder problems.

Reference excerpt

Lattice-based cryptography is the generic term for constructions of cryptographic primitives that involve lattices, either in the construction itself or in the security proof. Lattice-based constructions support important standards of post-quantum cryptography. Unlike more widely used and known public-key schemes such as the RSA, Diffie-Hellman or elliptic-curve cryptosystems—which could, theoretically, be defeated using Shor's algorithm on a quantum computer—some lattice-based constructions appear to be resistant to attack by both classical and quantum computers. Furthermore, many lattice-based constructions are considered to be secure under the assumption that certain well-studied computational lattice problems cannot be solved efficiently. In 2024 NIST announced the Module-Lattice-Based Digital Signature Standard for post-quantum cryptography.

History In 1996, Miklós Ajtai introduced the first lattice-based cryptographic construction whose security could be based on the hardness of well-studied lattice problems, and Cynthia Dwork showed that a certain average-case lattice problem, known as short integer solutions (SIS), is at least as hard to solve as a worst-case lattice problem. She then showed a cryptographic hash function whose security is equivalent to the computational hardness of SIS. In 1998, Jeffrey Hoffstein, Jill Pipher, and Joseph H. Silverman introduced a lattice-based public-key encryption scheme, known as NTRU. However, their scheme is not known to be at least as hard as solving a worst-case lattice problem. The first lattice-based public-key encryption scheme whose security was proven under worst-case hardness assumptions was introduced by Oded Regev in 2005, together with the learning with errors problem (LWE). Since then, much follow-up work has focused on improving Regev's security proof and improving the efficiency of the original scheme. Much more work has been devoted to constructing additional cryptographic primitives based on LWE and related problems. For example, in 2009, Craig Gentry introduced the first fully homomorphic encryption scheme, which was based on a lattice problem.

Mathematical background In linear algebra, a lattice L ⊂ R n {\displaystyle L\subset \mathbb {R} ^{n}} is the set of all integer linear combinations of vectors from a basis { b 1 , … , b n } {\displaystyle \{\mathbf {b} _{1},\ldots ,\mathbf {b} _{n}\}} of R n {\displaystyle \mathbb {R} ^{n}} . In other words,

L = { ∑ a i b i : a i ∈ Z } . {\displaystyle L={\Big \{}\sum a_{i}\mathbf {b} _{i}:a_{i}\in \mathbb {Z} {\Big \}}.}

For example, Z n {\displaystyle \mathbb {Z} ^{n}} is a lattice, generated by the standard basis for R n {\displaystyle \mathbb {R} ^{n}} . Crucially, the basis for a lattice is not unique. For example, the vectors ( 3 , 1 , 4 ) {\displaystyle (3,1,4)} , ( 1 , 5 , 9 ) {\displaystyle (1,5,9)} , and ( 2 , − 1 , 0 ) {\displaystyle (2,-1,0)} form an alternative basis for Z 3 {\displaystyle \mathbb {Z} ^{3}} . The most important lattice-based computational problem is the shortest vector problem (SVP or sometimes GapSVP), which asks for an approximate minimal Euclidean length of a non-zero lattice vector. This problem is thought to be hard to solve efficiently, even with approximation factors that are polynomial in n {\displaystyle n} , and even with a quantum computer. Many (though not all) lattice-based cryptographic constructions are known to be secure if SVP is in fact hard in this regime.

Selected lattice-based schemes This section presents selected lattice-based schemes, grouped by primitive.

Encryption Selected schemes for the purpose of encryption:

GGH encryption scheme, which is based in the closest vector problem (CVP). In 1999, Nguyen published a critical flaw in the scheme's design. NTRUEncrypt.

Homomorphic encryption Selected schemes for the purpose of homomorphic encryption:

Gentry's original scheme. Brakerski and Vaikuntanathan.

Hash functions Selected lattice-based cryptographic schemes for the purpose of hashing:

SWIFFT. Lattice Based Hash Function (LASH).

Key exchange Selected schemes for the purpose of key exchange, also called key establishment, key encapsulation and key encapsulation mechanism (KEM):

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Lattice-based cryptography

Start with the simplest possible case. Write down what Lattice-based 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 Lattice-based 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 Lattice-based 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 Lattice-based cryptography

In research
Lattice-based 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 Lattice-based 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
Lattice-based cryptography is common in secondary-school and first-year university syllabi. It links to neighbouring topics Lattice-based cryptography, Post-quantum cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for Lattice-based 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 Lattice-based cryptography in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Lattice-based 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 Lattice-based cryptography out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lattice-based cryptography in simple terms?

Lattice-based cryptography is the generic term for constructions of cryptographic primitives that involve lattices, either in the construction itself or in the security proof. Lattice-based constructions support important standards of post-quantum cryptography.

Why does Lattice-based 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 Lattice-based 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 Lattice-based cryptography.

Tags

  • Lattice-based cryptography
  • Post-quantum cryptography

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