Classical computers would take billions of years to factor the large numbers that secure RSA encryption. Quantum computers, however, can use Shor's algorithm to break these systems efficiently. The security of many cryptographic systems depends on the hardness of certain mathematical problems:
Quantum computers can solve these problems exponentially faster than classical computers, effectively breaking these encryption systems.
The stark difference between classical and quantum computing power for breaking encryption:
The development of large-scale quantum computers threatens current cryptographic standards:
Post-quantum cryptography (PQC) refers to cryptographic algorithms that are believed to be secure against attacks by quantum computers. These algorithms are designed to protect information from the increased computing capabilities that quantum technologies promise.
Key Insight: The goal is not just to replace vulnerable algorithms, but to build cryptographic agility - the ability to switch between algorithms as security needs evolve.
In 2016, the National Institute of Standards and Technology (NIST) initiated a process to solicit, evaluate, and standardize quantum-resistant cryptographic algorithms.
2016-2017: Call for Proposals
2017-2020: Round 1-2 Analysis
2020-2022: Round 3 Finalists
2022-2024: Final Standards
After extensive analysis and public review, NIST selected several algorithms for standardization:
ML-KEM (Module Learning with Errors Key Encapsulation Mechanism), previously known as CRYSTALS-Kyber, is a lattice-based key encapsulation mechanism selected by NIST as the primary standard for post-quantum key establishment.
Instead of relying on integer factorization like RSA, ML-KEM's security is based on the hardness of the Module Learning With Errors (M-LWE) problem, which is believed to be resistant to attacks by quantum computers.
ML-KEM operates in three main phases:
ML-KEM comes in three different parameter sets, offering different levels of security and performance:
ML-KEM offers several advantages over traditional RSA.
Performance:
Security:
When implementing ML-KEM, use parameter sets based on your security requirements. ML-KEM-512 is suitable for most web applications, while ML-KEM-1024 should be used for highly sensitive data or long-term security needs.
QuantumShield™ is a tool designed by Quantum Solutions Technology, LLC to help organizations prepare for the quantum computing era by identifying and addressing cryptographic vulnerabilities. Our scanner detects cryptographic methods that are vulnerable to quantum attacks and provides recommendations for migration to post-quantum algorithms.
Quantum computers pose a significant threat to many of the cryptographic algorithms that secure our digital infrastructure. Algorithms based on factoring large numbers (like RSA) or discrete logarithm problems (like ECC and DSA) can be broken efficiently by quantum computers using Shor's algorithm.
Organizations need to start planning their migration to quantum-resistant algorithms now to ensure they're prepared for the quantum future. This is especially important for systems with long-term security requirements, as data encrypted today could be decrypted in the future when powerful quantum computers become available.
QuantumShield provides three key capabilities:
QuantumShield recommends NIST standardized and finalist post-quantum algorithms, including:
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