ANN Demodulation via Fast-Varying Modulation for Signal Security
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Solution Overview
Problem
Existing encryption methods are vulnerable to rapid advancements in artificial neural networks (ANNs), which can potentially reverse cryptographic algorithms, compromising data security.
Innovation Solution
A method utilizing a modulation function that varies faster than the initial signal, combined with an artificial neural network (ANN) system trained to identify bit values from signal patterns, for demodulating and decoding signals, making it difficult for attackers to reconstruct the bit sequence without proper training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cryptographic algorithms are used for signal encryption, then data security is provided, but they become vulnerable to rapid advancements in artificial neural networks that can potentially reverse cryptographic algorithms
Solution Approach 1:
The patent applies dynamics by using a modulation function that varies faster than the signal itself, creating a dynamic encryption scheme that adapts to neural network processing speeds. The modulation function changes continuously in response to the input signal, making it difficult for neural networks to reverse-engineer the encryption pattern.
Solution Approach 2:
The patent changes the parameter of modulation speed to be faster than the signal frequency, creating a parameter relationship that prevents neural networks from effectively analyzing and reversing the cryptographic algorithm. This parameter change fundamentally alters the vulnerability landscape.
2Reliability
If a modulation function varying faster than the signal is used, then high-speed decoding and security are achieved, but the device complexity increases due to the need for specialized ANN systems
Solution Approach 1:
The patent substitutes traditional electronic signal processing with photonic computing systems that operate at optical speeds. This replacement enables the system to handle modulation functions varying faster than the signal without proportionally increasing complexity, as photonic systems naturally operate at higher frequencies.
Solution Approach 2:
The patent introduces photonic computing as an intermediary between the modulated signal and the neural network processing. This intermediary enables high-speed signal manipulation while maintaining manageable system complexity by leveraging the natural speed advantages of optical systems.
3Object-affected harmful factors
If the modulation function varies faster than the signal, then the encoding rate becomes unknown to attackers, but the difficulty of detecting and measuring the signal increases
Solution Approach 1:
The patent employs periodic modulation functions that vary faster than the underlying signal frequency. This creates a layered temporal structure where the fast-varying modulation periodicity obscures the slower information-carrying signal, making it impossible for attackers to determine the true encoding rate or reconstruct the bit sequence.
Data Source
AI summary
Demodulating a modulated signal. A method may include receiving a modulated signal, wherein the modulated signal is a signal modulated according to a modulation function varying faster than the signal. The modulation function is a function of the signal. The modulated signal received is demodulated with an artificial neural network system, or ANN system, which is trained to identify bit values from signal patterns as caused by the modulation function, by identifying bit values from patterns of the modulated signal received. Related modulation and demodulation systems are disclosed.