Spin-Injection Random Number Generator Temperature Control
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Solution Overview
Problem
Spin-injection random number generators face challenges in maintaining a reversal probability of ½ due to temperature and magnetic field dependencies, leading to instability in random number generation and potential ease of key theft through power consumption analysis or physical probing.
Innovation Solution
A random number generating device and method that adjust the spin-injection current based on environmental temperature by setting resistance values of magnetization reversal elements to specific thresholds, using a temperature controller to ensure the reversal probability remains at ½, and employing cryptographic processing to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the spin-injection current is reduced to lower power consumption, then energy efficiency is improved, but the reversal probability deviates from 1/2 and random number generation quality deteriorates
Solution Approach 1:
The patent dynamically adjusts the spin-injection current magnitude based on temperature conditions to maintain optimal reversal probability. The current is increased when temperature causes reversal probability to deviate from 1/2, ensuring consistent random number generation quality while managing power consumption through conditional parameter adjustment
Solution Approach 2:
The patent implements a feedback mechanism that monitors temperature and adjusts the spin-injection current accordingly. By detecting temperature changes and responding with appropriate current modulation, the system maintains reversal probability at 1/2 while optimizing power consumption based on actual operating conditions
2Use of energy by moving object
If the saturation magnetization Ms is reduced to lower the spin-injection current, then power consumption is suppressed, but the spin-injection current becomes highly sensitive to temperature variations
Solution Approach 1:
The patent compensates for temperature-induced variations in spin-injection current by dynamically adjusting the current magnitude based on temperature detection. This allows the use of low-Ms materials for reduced power consumption while maintaining stable operation across temperature ranges through active parameter compensation
Solution Approach 2:
The patent replaces passive material selection with active control mechanisms. Instead of relying solely on material properties to be temperature-independent, the system uses temperature detection and dynamic current adjustment to compensate for temperature effects, enabling the use of low-Ms materials without sacrificing temperature stability
3Reliability
If the reversal probability is set to 1/2 for optimal random number generation, then random number quality is improved, but the system becomes sensitive to environmental temperature and magnetic field changes
Solution Approach 1:
The patent uses temperature detection and dynamic current adjustment as a feedback mechanism to compensate for environmental variations. By continuously monitoring temperature and adjusting the spin-injection current accordingly, the system maintains reversal probability at 1/2 despite changes in environmental conditions
Solution Approach 2:
The patent dynamically changes the spin-injection current parameter in response to temperature variations. When temperature causes the reversal probability to deviate from 1/2, the current is adjusted to restore optimal conditions, thereby maintaining random number generation quality while adapting to environmental changes
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
This approach stabilizes random number generation close to truly random numbers even with temperature changes, preventing key theft by masking power consumption patterns and enhancing security chip resistance.
Implementation Method 1
a plurality of random number generating elements that generate a random number through setting of reversal probability of magnetization to 1/2 due to a spin-injection phenomenon in response to supply of a spin-injection current
Implementation Method 2
setting a resistance value of the random number generating element to a first resistance value higher than a predetermined threshold
Data Source
AI summary
A random number generating device includes: a random number generator configured to have a plurality of random number generating elements that generate a random number in response to supply of a spin-injection current; and a temperature controller.


