Quantum-Resistant Ledger Encryption for Low-Latency Secure Communications
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Solution Overview
Problem
Existing encryption schemes, such as RSA 2048, are vulnerable to quantum computers using algorithms like Shor's, posing a security risk in high-throughput, low-latency environments like 5G infrastructure.
Innovation Solution
Implementing a Quantum Resistant Ledger (QRL) that combines post-quantum cryptography with blockchain technology, utilizing algorithms like Kyber for key encryption and Dilithium for digital signatures, to enhance data security and integrity, ensuring compatibility with classical binary computers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classical encryption schemes (e.g., RSA 2048) are used for data protection, then current security requirements are met, but security is compromised against quantum computer attacks
Solution Approach 1:
The patent changes the cryptographic parameters from classical algorithms (RSA, ECC) to post-quantum algorithms (lattice-based, hash-based, code-based cryptography). This parameter change enables resistance against quantum attacks while maintaining compatibility with existing infrastructure, directly resolving the security vulnerability to quantum decryption
Solution Approach 2:
The patent implements post-quantum cryptography in advance, before quantum computers become practically capable of breaking classical encryption. This preliminary action prepares the system proactively against future quantum threats, preventing security compromises before they can occur
2Reliability
If post-quantum cryptography is implemented, then quantum resistance is achieved, but computational overhead and key sizes increase
Solution Approach 1:
The patent applies different post-quantum cryptographic schemes to different security requirements and data types. By selecting appropriate algorithms (e.g., CRYSTALS-Kyber for key encapsulation, CRYSTALS-Dilithium for signatures) based on specific security needs, the system achieves quantum resistance while optimizing computational overhead for each application context
Solution Approach 2:
The patent enables dynamic selection and adjustment of cryptographic parameters and algorithms based on security requirements, performance constraints, and threat models. This dynamic approach allows the system to balance quantum resistance with computational efficiency, adapting to different operational conditions
3Reliability
If quantum computers are awaited for PQC deployment, then optimal quantum-resistant security is achieved, but implementation timeline is extended indefinitely
Solution Approach 1:
The patent implements post-quantum cryptography now, on classical computers, rather than waiting for quantum computers to mature. This preliminary deployment captures security benefits immediately while the technology is being standardized, avoiding indefinite delays and providing proactive protection against future quantum threats
4Reliability
If higher security levels (e.g., 256-bit) are applied to all data, then maximum security is achieved, but processing speed and efficiency decrease
Solution Approach 1:
The patent applies different security levels and cryptographic strengths to different data types and security requirements rather than uniformly applying maximum security to all data. This selective approach maintains high security for sensitive information while improving processing speed for less critical data, optimizing the balance between security and productivity
Data Source
AI summary
According to an embodiment, a method includes identifying, by a first network component, data and determining a security level from a plurality of security levels associated with the data. The method also includes determining an encryption scheme from a plurality of encryption schemes to apply to the data and applying, using a Quantum Resistant Ledger (QRL), the encryption scheme to the data to generate encrypted data. The method further includes communicating the encrypted data to a second network component.