Particle Simulation Information Embedding via Order Metrics
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Solution Overview
Problem
Existing data security methods, including information embedding and cryptography, face challenges in flexibility and the risk of key and data interception, especially with the emergence of quantum computing and the need for more sophisticated protection techniques.
Innovation Solution
The method involves generating simulation instances and particle site identifiers from a particle-based simulation, using a pre-agreed order metric to map local order values to characters of an input message, thereby embedding information in the simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional information embedding and cryptography methods are used, then data security is provided, but the system lacks flexibility and is vulnerable to key and data interception
Solution Approach 1:
The patent applies parameter changes by utilizing the local order metric values from particle-based simulations, which can take on a continuous range of values, to encode information. This transforms the discrete nature of traditional cryptographic keys into a continuous parameter space, enabling flexible information embedding while maintaining security through the complexity of the simulation parameters.
Solution Approach 2:
The patent replaces conventional mechanical cryptographic systems with a particle-based simulation approach. Instead of using traditional mathematical algorithms and keys, the system embeds information within the physical or simulated particle configurations, substituting the mechanical cryptographic process with a simulation-based information embedding mechanism that is resistant to quantum computing threats.
2Reliability
If particle-based simulation with order metric is used to embed information, then imperceptibility and robustness are achieved, but the complexity of the system increases
Solution Approach 1:
The patent applies universality by using the particle-based simulation framework to serve multiple purposes: the simulation itself becomes the information carrier, the order metric provides both the encoding mechanism and the security key, and the same framework can be used for both information embedding and verification. This multi-functionality reduces the need for separate complex systems while maintaining robustness.
Solution Approach 2:
The system employs self-service by utilizing the inherent properties of the particle-based simulation and its order metric to perform both encoding and decoding operations. The simulation's natural evolution and the calculated order metrics serve the dual purpose of creating the encrypted information and providing the key for retrieval, eliminating the need for separate key generation and management systems.
3Quantity of substance
If information is embedded in particle-based simulation, then capacity and imperceptibility are improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent applies local quality by embedding information in the local order metric values at specific particle sites within the simulation. Instead of uniformly distributing information throughout the entire system, the method concentrates information encoding in localized regions where the order metric is calculated, making the information capacity dense and the detection difficulty high for unauthorized systems.
Data Source
AI summary
A method, system, and computer program product are disclosed. The method includes generating simulation instances and particle site identifiers from a particle-based simulation. The method also includes providing an order metric for the particle-based simulation. Information is embedded in the particle-based simulation by mapping local order values of the order metric to characters of an input message.