Self-Feedback Random Generator Using Frequency-Modulated Noise
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Solution Overview
Problem
Traditional random number generators produce predictable sequences due to regularity in noise signals, compromising the security of electronic transactions and online applications.
Innovation Solution
A self-feedback random generator system that includes a digital-to-analog converter, a digital oscillator, and a frequency-modulating unit, where the digital random signal is transformed into an analog signal and used to modulate the frequency of a digital oscillating signal, creating a self-feedback noise signal with increased randomness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional noise sources are used to generate random sequences, then the generation process is simple, but the output sequences exhibit regularity and can be predicted
Solution Approach 1:
The patent implements a feedback mechanism where the output random sequence is fed back to control the frequency of the noise source. The microcontroller reads the generated random sequence and uses it to modulate the noise source frequency, creating a dynamic system where output influences input, thereby eliminating fixed patterns and improving unpredictability
Solution Approach 2:
The system transitions from a static noise generation approach to a dynamic one by continuously varying the noise source frequency based on the generated random sequence. This dynamic adjustment ensures that the system does not operate in fixed states, preventing the emergence of predictable patterns
2Ease of manufacture
If digital circuit methods are used to generate random codes, then the generation process is deterministic, but the security of electronic transactions is compromised
Solution Approach 1:
The patent replaces purely digital circuit methods with a hybrid approach that incorporates analog noise sources. By using analog noise generation controlled by digital feedback, the system maintains ease of implementation while introducing physical randomness that cannot be predicted through digital analysis alone
Solution Approach 2:
The system combines digital control mechanisms with analog noise generation to create a composite random number generator. This hybrid architecture leverages the programmability of digital systems while incorporating the inherent unpredictability of analog noise, achieving both ease of manufacture and enhanced security
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 a highly random and unpredictable sequence of numbers, enhancing the security of electronic transactions and online applications by eliminating regularity in the output, thus improving the security and convenience of electronic trading and communication systems.
Implementation Method 1
a digital-to-analog converter receives a digital random signal and transforms the digital random signal to an analog random signal correspondingly
Implementation Method 2
the frequency-modulating unit modulates frequency of the first digital oscillating signal according to voltage value of the analog random signal
Data Source
AI summary
A self-feedback random generator comprises a digital-to-analog converter, a digital oscillator, a frequency-modulating unit and a first D-type flip-flop. The digital-to-analog converter receives a digital random-code signal and the digital random-code signal is converted to corresponding analog random signal. The frequency-modulating unit modulates frequency of first digital oscillating signal so as to increase random of frequency of first digital oscillating signal according to voltage value of the analog random signal, and accordingly outputs a second digital oscillating signal. The first D-type flip-flop receives the second digital oscillating signal and a clock signal, and reads the second digital oscillating signal through utilizing the clock signal so as to outputs the digital random-code signal, wherein frequency of the clock signal is smaller than frequency of the first digital oscillating signal, and random of frequency of the second digital oscillating signal corresponds to random of the digital random-code signal.