Spacecraft Random Number Generator Using Physical Phenomena
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Solution Overview
Problem
Current random number generators lack the ability to produce significantly random sequences, which is crucial for secure applications such as authentication, cryptography, and secure communication, as they often rely on deterministic algorithms that can be vulnerable to statistical attacks.
Innovation Solution
A method and system that utilize physical phenomena occurring in space, such as atmospheric temperature, radio frequency noise, or radioactive decay, to generate random numbers by sensing these phenomena and using them as seeds for pseudo-random number generators (PRNGs), ensuring a high level of randomness and unpredictability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deterministic algorithms are used for random number generation, then the system is simple and easy to implement, but the randomness is insufficient and vulnerable to statistical attacks
Solution Approach 1:
The patent replaces deterministic mechanical/algorithms systems with physical phenomena-based systems. Sensors detect physical phenomena (thermal noise, shot noise, RF noise) to generate random seeds, substituting the mechanical deterministic approach with physical randomness sources. This resolves the contradiction by providing true randomness while keeping the overall system structure manageable through modular sensor-PRNG architecture.
Solution Approach 2:
The patent changes the fundamental parameter of randomness generation from deterministic computation to physical measurement. By using sensors to measure physical phenomena parameters (temperature fluctuations, electrical noise, RF signals), the system transforms the nature of random number generation from algorithmic to physical, thereby improving randomness quality while maintaining reasonable system complexity through established sensing technologies.
2Reliability
If physical phenomena sensors are used to generate random numbers, then the randomness quality improves, but the device complexity increases
Solution Approach 1:
The patent introduces pseudo-random number generators (PRNGs) as intermediary components between physical phenomenon sensors and the final random number output. The sensors capture physical phenomena and convert them to electrical signals, which PRNGs then process into usable random sequences. This intermediary layer manages the complexity by providing a standardized interface between diverse sensor types and the random number output, making the system more manageable while maintaining high randomness quality.
Solution Approach 2:
The patent designs the system to support multiple types of physical phenomenon sensors (thermal noise sensors, shot noise sensors, RF noise sensors) that can be used interchangeably or in combination. This universal approach allows the same PRNG architecture to work with different sensor types, reducing overall system complexity through standardized processing while maintaining the ability to generate high-quality random numbers through various physical phenomena.
3Measurement precision
If multiple physical phenomena are sensed to improve randomness, then the quality of random sequences increases, but the measurement and processing complexity increases
Solution Approach 1:
The patent divides the random number generation system into separate sensor modules, each dedicated to detecting a specific physical phenomenon (thermal noise, shot noise, RF noise). Each sensor independently measures its designated phenomenon and feeds to the PRNG system. This segmentation reduces measurement complexity by allowing specialized sensors to focus on single phenomena, improving measurement precision while keeping each sensor's detection task manageable and well-defined.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system generates significantly random sequences of numbers that can be used for secure authentication, cryptography, and communication, enhancing security by providing a more reliable and unpredictable source of randomness, resistant to statistical attacks.
Implementation Method 1
physical phenomena that occurs in space... radioactive decay of a radioactive material on the spacecraft
Implementation Method 2
thermal noise... temperature of the spacecraft
Implementation Method 3
radio frequency (RF) noise
Implementation Method 4
inputting at least a portion of the value of at least one physical phenomenon into a pseudo-random number generator (PRNG)... generating, with the PRNG, a sequence of random numbers
Data Source
AI summary
A system, method, and apparatus for a significant random number generator are disclosed. The method involves sensing, with a sensor on a spacecraft, a physical phenomenon. In one or more embodiments, the system utilizes a Lower Earth Orbiting (LEO) Iridium satellite for the spacecraft. The method further involves outputting, from the sensor, a value for the physical phenomenon. Also, the method involves inputting the value of the physical phenomenon into a pseudo-random number generator (PRNG). In addition, the method involves generating, with the PRNG, a sequence of random numbers using the value of the physical phenomenon as a seed for the PRNG. In some embodiments, the disclosed significant random number generator is employed by a spot beam based authentication system that is used to authenticate a claimant. In other embodiments, the disclosed significant random number generator is used for cryptology, routing network traffic, anti-jamming, certified time stamping, and secure identification applications.