Deep Random Generator for Unconditionally Secure Cryptographic Communication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cryptographic methods rely on unproven assumptions about opponents' capabilities and communication channels, lacking proven perfect secrecy without prearranged secret keys.
Innovation Solution
The implementation of Deep Random Generators and Perfect Secrecy Protocols that generate and utilize Deep Random probability distributions, ensuring secrecy without prearranged keys and independent of communication channel conditions, using components like Deep Random Generators and Interactive Communication Modules to create and manage secure communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If modern cryptographic methods rely on mathematical problems (large integer factorization or discrete logarithm), then encryption security is provided, but proven perfect secrecy cannot be achieved without unproven assumptions about problem difficulty
Solution Approach 1:
The patent replaces traditional mathematical problem-based cryptography with a physical system based on quantum undetermination and chaos generation. This substitution transitions from relying on unproven computational difficulty assumptions to using fundamental physical phenomena that provide provable security guarantees through information-theoretic principles.
Solution Approach 2:
The invention changes the fundamental parameter of security from computational hardness assumptions to physical randomness properties. By using quantum undetermination and chaos theory, the system transforms security reliance from mathematical conjectures (P≠NP) to physical laws, enabling perfect secrecy through information-theoretic security rather than computational security.
2Reliability
If cryptographic methods based on physical theories (quantum undetermination or chaos generation) are used, then perfect secrecy can be achieved, but implementation complexity increases
Solution Approach 1:
The patent introduces an intermediary element—a trusted third party or pre-shared secret seed—that facilitates the generation of synchronized random sequences between communicating parties. This intermediary simplifies the implementation by avoiding the need for complex quantum hardware or chaos synchronization mechanisms, while still providing information-theoretic security through the use of physically-generated randomness.
Solution Approach 2:
The invention performs preliminary action by pre-establishing a secret seed or initial random sequence through secure physical means before the actual communication takes place. This preliminary setup using physical randomness generation simplifies subsequent communication protocols, as the heavy lifting of establishing security is done in advance through physically-grounded random key generation rather than during the communication process.
3Reliability
If cryptographic methods rely on hypotheses about the opponent (memory bounded adversary) or communication channel (independant noisy channels), then perfect secrecy can be proven under given hypotheses, but these hypotheses are difficult to ensure in practice
Solution Approach 1:
The patent makes the cryptographic system self-sufficient by generating its own security guarantees through physical randomness without requiring external verification of channel properties or opponent limitations. The system uses quantum undetermination or chaos generation to create inherently unpredictable sequences that provide security regardless of the communication channel characteristics or opponent capabilities, eliminating the need for difficult-to-verify hypotheses.
Data Source
AI summary
A cryptographic communications system enables two entities related by an insecure communication channel and having initially no privately shared knowledge, to agree on a shared unconditionally secure information. Each one of the entities has the capability to generate a new form of randomness called Deep Random, such that any other entity than itself cannot know anything about the probability distribution except a given public characteristic. The internal system of each entity is made up with: (1) a Deep Random Generator (DRG) capable of generating Deep Random signals and of making calculations using the generated signals, and (2) an Interactive Communication Module (ICM) capable of publishing to and reading from the insecure channel. The two entities execute a communication protocol such that they can each compute their respective estimations of the shared information that are probabilistically as close as desired from perfect equality.