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PART 1Executive Overview
1Definition

Lattice-Based Cryptography is a type of post-quantum cryptography that relies on the mathematical problem of finding the shortest vector within a high-dimensional lattice to ensure security against attacks from quantum computers.

Category
Post-Quantum
Stage
NOW
2Problem It Solves

Lattice-Based Cryptography addresses the potential threat posed by quantum computers to current encryption methods. Current public-key cryptographic systems, such as RSA and ECC, could potentially be broken by a sufficiently powerful quantum computer using Shor's algorithm. Lattice-based schemes are designed to withstand these attacks due to their inherent computational hardness.

3Lifecycle / Journey Stage
early commercial
PART 2Technical & Manufacturing
4How It Works

The security of lattice-based cryptographic schemes is based on the computational difficulty of solving certain problems in lattices, such as the Shortest Vector Problem (SVP) and the Closest Vector Problem (CVP). These problems are believed to be hard for both classical and quantum computers, making them suitable for post-quantum cryptography.

5Materials Used
6Manufacturing / Creation Process

The manufacturing process for lattice-based cryptography is primarily focused on the development of algorithms and protocols rather than physical production. This involves rigorous mathematical analysis, optimization, and testing of cryptographic functions.

7Build Process

The build process includes defining the lattice dimensions, selecting appropriate parameters to balance security and efficiency, implementing the cryptographic algorithms in software or hardware, and conducting extensive testing to ensure robustness against various attacks.

8Energy Requirements

Field units draw low hundreds of watts; fabrication is energy-intensive due to vacuum baking.

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PART 3Market & Industry
9Companies Involved
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10Estimated Costs

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11Case Studies

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PART 4Academic References
12Scientific Papers / White Papers

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13Patents

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14Glossary
Shortest Vector Problem (SVP)
A computational problem in lattice theory where the goal is to find the shortest non-zero vector within a given lattice. It forms the basis of security for many lattice-based cryptographic schemes.
Closest Vector Problem (CVP)
Another fundamental problem in lattice theory, CVP involves finding the lattice point closest to a given target vector. Both SVP and CVP are considered hard problems that underpin the security of lattice-based cryptography.
Shor's Algorithm
A quantum algorithm developed by Peter Shor in 1994, which can efficiently factor large integers and compute discrete logarithms. This poses a significant threat to current public-key cryptographic systems but is not applicable to lattice-based cryptography.
15References

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