Interface Signal Marginality for Random Number Generation
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Solution Overview
Problem
Existing random number generators produce pseudorandom numbers that can be predictable and vulnerable to reverse engineering, which compromises security in applications like cryptography and software security.
Innovation Solution
Inducing signal marginality in an interface by overclocking its parameters, such as voltage, frequency, and timing, to introduce stochastic errors in pseudorandom number transmission, thereby generating truly random and non-algorithmic numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pseudorandom number generators are used to generate random numbers, then the numbers can be produced efficiently using algorithms, but the numbers are predictable and vulnerable to reverse engineering
Solution Approach 1:
The patent converts the harmful effect of signal marginality (which normally causes transmission errors and failures) into a beneficial effect for random number generation. By intentionally operating the interface at marginal settings, the system transforms deterministic algorithmic outputs into truly random numbers through physical hardware variability, thereby improving unpredictability while maintaining generation efficiency.
Solution Approach 2:
The patent changes the operating parameters of the interface from stable, optimized settings to marginal settings that induce signal instability. By varying parameters such as voltage, frequency, and timing to create signal marginality, the system transforms the hardware's deterministic behavior into stochastic behavior, generating truly random numbers while maintaining efficient operation.
2Reliability
If interface parameters are overclocked to induce signal marginality, then truly random numbers are generated, but data transmission stability deteriorates
Solution Approach 1:
The patent applies dynamics by making the interface parameters adjustable and variable rather than fixed. The system dynamically transitions between stable operating modes for normal data transmission and marginal operating modes for random number generation. This allows the same hardware to adapt its behavior based on operational requirements, achieving both transmission stability and generation security as needed.
Solution Approach 2:
The patent segments the operational states of the interface into distinct modes: stable mode for normal data transmission and marginal mode for random number generation. By separating these functions into different operational segments, the system can optimize for transmission stability during normal operation and for security during random number generation without compromising either function permanently.
3Ease of manufacture
If existing hardware is repurposed for random number generation, then costs are reduced, but the hardware must operate beyond its designed parameters
Solution Approach 1:
The patent applies universality by enabling existing hardware interfaces to serve multiple functions: normal data transmission and random number generation. By programming the interface to operate in marginal modes for cryptographic purposes, the system makes existing hardware multi-functional, reducing the need for specialized expensive hardware while maintaining operational reliability through controlled parameter variation.
Data Source
AI summary
Induced signal marginality for random number generation is described. In accordance with the described techniques, a pseudorandom number is transmitted across an interface while the interface is operated with settings configured to cause instability in the interface. A random number is received as an output of the interface. The settings configured to cause instability in the interface include overclocked settings of interface operating parameters.