Hiding Data in Quantum Noise for Secure Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cryptography methods face limitations in achieving perfect secrecy, especially when transmitting data over noiseless channels, and require expensive infrastructure for quantum cryptography, which is impractical for long-distance implementations.
Innovation Solution
The method involves hiding data within random noise, using a scatter map to permute data within noise, allowing for arbitrary close-to-perfect secrecy by increasing noise size, and can be implemented with current TCP/IP infrastructure without the need for expensive physical setups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional cryptography methods are used to achieve perfect secrecy, then security is improved, but infrastructure cost increases and implementation becomes impractical for long-distance communication
Solution Approach 1:
The patent replaces quantum mechanical cryptography systems with an information-theoretic approach using noise-based hiding. Instead of relying on quantum hardware infrastructure, the invention uses mathematical scrambling of data within noise signals that can be implemented on standard communication channels, eliminating the need for expensive quantum infrastructure while maintaining security guarantees.
Solution Approach 2:
The patent employs one-time pad-style random noise that is discarded after use. Each communication uses fresh random noise generated locally, eliminating the need for secure key distribution infrastructure. The noise is generated, used once to hide data, and then discarded, providing cheap and practical implementation without complex infrastructure.
2Reliability
If data is hidden within larger noise, then secrecy is improved, but data transmission efficiency decreases
Solution Approach 1:
The patent changes the parameter of noise size relative to data size dynamically. By adjusting the amount of noise used to hide data, the system can balance between secrecy and transmission efficiency. The noise-to-data ratio becomes a controllable parameter that can be optimized based on security requirements and channel conditions, allowing flexible trade-offs rather than fixed inefficiency.
Data Source
AI summary
A process of hiding a key or data inside of random noise is introduced, whose purpose is to protect the privacy of the key or data. In some embodiments, the random noise is produced by quantum randomness, using photonic emission with a light emitting diode. When the data or key generation and random noise have the same probability distributions, and the key size is fixed, the security of the hiding can be made arbitrarily close to perfect secrecy, by increasing the noise size. The hiding process is practical in terms of infrastructure and cost, utilizing the existing TCP/IP infrastructure as a transmission medium, and using light emitting diode(s) and a photodetector in the random noise generator. In some embodiments, symmetric cryptography encrypts the data before the encrypted data is hidden in random noise, which substantially amplifies the computational complexity.