Random number generation design method and device based on hybrid of wireless relay and chaotic circuit

Abstract

The present invention relates to a random number generation method and system based on a hybrid of a wireless relay communication system and a chaotic circuit. Compared with the prior art, the present invention adopts an innovative technical solution that can generate high-quality random numbers in a wireless relay communication system, thereby improving the security and privacy protection level of the communication system. The key technical effects of the present invention include: a modular architecture is designed to allow the processing of external random events, and by combining the wireless relay communication system and the chaotic system, the generated random numbers have a high degree of randomness and unpredictability, effectively improving the utilization rate of system resources. The innovation and practicality of the present invention will have a positive impact on the field of communications, and is expected to be applied to various scenarios requiring random number generation, including the generation of encryption keys, authentication processes, etc.

Description

Technical Field

[0001] The present invention relates to a random number generation method and device based on a wireless relay communication system and a chaotic system, belonging to the technical field of information security. Background Art

[0002] Random numbers play a key role in cryptography, secure communications, analog computing, game development and other fields. They are used in encryption key generation, digital signatures, randomization algorithms, simulated experimental data, etc. to ensure the security, fairness and unpredictability of the system.

[0003] Pseudorandom number generators (PRNGs) are a common method for generating random numbers. They use deterministic algorithms, such as the linear congruential generator (LCG) and the Mersenne twister, to generate sequences of numbers. These algorithms are designed to simulate true randomness and are widely used due to their efficiency. However, because PRNGs are based on deterministic algorithms, they have predictability limitations and are vulnerable to external attacks. Despite this, PRNGs perform well in most cases and are widely adopted in many applications. In contrast, true random number generators (TRNGs) are based on physical processes rather than algorithms, leveraging unpredictable physical phenomena such as thermal noise or quantum effects to generate randomness. TRNGs do not rely on seeding, making their output inherently irreproducible and secure. Although TRNGs are limited by hardware cost and generation speed, they offer a higher level of randomness assurance in some security-critical applications, providing a reliable guarantee for the security and privacy of digital systems. However, both PRNGs and TRNGs have limitations. While PRNGs can meet most requirements, the random number sequences they generate are predictable, which can make them vulnerable to attacks in security-critical applications. While TRNGs have a higher level of randomness in their output, they may not meet practical needs in some cases due to limitations in hardware cost and generation speed. Therefore, in practical applications, it is necessary to develop a method for generating appropriate random numbers based on the needs and security requirements of specific scenarios. Summary of the Invention

[0004] The present invention relates to a random number generation method and device based on a wireless relay communication system and a chaotic system, aiming to improve the randomness and generation efficiency of random numbers and enhance the security and reliability of the communication system.

[0005] To meet the above-mentioned objectives, the present invention provides a method and apparatus for generating true random numbers, which utilizes wireless relay nodes to obtain random signals and mixes them with chaotic signals generated by a chaotic system to generate a high-quality random number sequence.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solution: a random number generation device based on a wireless relay communication system and a chaotic system, which extracts random features in the wireless relay, including the following steps:

[0007] Step 001: The wireless relay unit collects wireless signal data, and the collected signal data is pre-processed. If a signal to be relayed is received, step 002 is entered. If no valid wireless signal is received, step 003 is entered.

[0008] In step 002, the processed signal data is transmitted to the gain processing unit, which adjusts the amplification gain of the signal through real-time monitoring to optimize the signal reception performance.

[0009] Step 003: The chaotic circuit unit generates a chaotic signal sequence, and uses the nonlinear dynamic characteristics of the chaotic system to provide a highly random and unpredictable signal sequence.

[0010] Step 004: The signal data from the gain processing unit and the chaotic signal generated by the chaotic circuit unit are mixed in the data mixing unit.

[0011] In step 005, the mixed signal sequence enters a random number generation unit, which generates a random number using the mixed data.

[0012] In the above solution, the device is composed of a wireless relay unit, a gain processing unit, a chaotic circuit unit, a data mixing unit, and a random number generation unit.

[0013] In the above solution, the wireless relay unit pre-processes the collected signal data, including signal filtering, denoising and other processing.

[0014] The above scheme adopts the forward amplification (AF) signal gain algorithm to generate the signal amplification gain.

[0015] Furthermore, in the AF signal gain algorithm, the relay node performs channel estimation to obtain the channel transfer function between the source node and the relay node. And the transfer function between the relay node and the destination node ,The optimal amplification gain is determined based on the current channel state ,information, which can be used to extract true random numbers due to the ,random interference and fading of the wireless channel.

[0016] In the above solution, the chaotic circuit unit adopts a chaotic circuit that is easy to build.

[0017] In the above solution, the data is stored in the entropy pool, and the random number mixing generation unit is responsible for performing an XOR operation on the two types of random number sequences input to mix the randomness of the two types of input sequences.

[0018] In the above solution, the format and range of the XOR sequence are processed.

[0019] The advantages of this invention include: The random numbers obtained and generated over a random wireless channel exhibit the characteristics of true random numbers, ensuring their unpredictability and high entropy. Furthermore, by leveraging the initial value sensitivity and long-term unpredictability of chaotic systems, the complexity and security of the random number sequence are further improved, enhancing both randomness and anti-attack capabilities.

[0020] The random number generation method and device based on wireless relays and chaotic circuits are capable of large-scale random number generation. By performing XOR operations on multiple random number sequences, the number and diversity of generated random number sequences are increased, making them adaptable to a wider range of application scenarios.

[0021] The system design of the random number generation method and device based on wireless relay and chaotic circuit adopts a modular structure, with each functional unit relatively independent, which is easy to expand and maintain. The system can be flexibly adjusted and configured to meet the requirements of different environments and application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flowchart of a distributed public key generation method based on the RSA algorithm and smart contracts;

[0023] Figure 2 This is a structural diagram of a distributed public key generation device based on the RSA algorithm and smart contracts. DETAILED DESCRIPTION

[0024] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0025] like Figure 1 As shown, the present invention designs a random number generation method and device based on wireless relay and chaotic circuit;

[0026] like Figure 2 This is a structural diagram of a random number generation method and device based on wireless relay and chaotic circuit.

[0027] In response to the random number requirements of wireless communication systems, the actual application process includes the following steps:

[0028] Step 101: The wireless signals to be relayed include but are not limited to Wi-Fi signals, Bluetooth signals, and other wireless communication signals. The signals are filtered and processed to meet the requirements of subsequent processing.

[0029] Step 102: monitor the signal strength in real time and calculate the signal amplification gain according to the transmission requirements.

[0030] Step 103: Generate a chaotic signal sequence using Chua's chaotic circuit.

[0031] Step 104 , performing an XOR operation on the signal gain calculated in step 102 and the chaotic signal generated in step 103 .

[0032] Step 105: extract the random number, and perform format conversion and range adjustment processing to meet application requirements.

[0033] The above is a detailed description of a random number generation method based on wireless relay and chaotic circuit. To facilitate understanding, the following describes the application of this method in a specific application scenario. The application examples include:

[0034] 1) In wireless relay, the relay node obtains the wireless signal of the source node;

[0035] 2) Obtain the channel transfer function in the wireless signal and calculate the amplification gain;

[0036] 3) Algorithm:

[0037] The relay node receives the signal from the source node and measures the channel gain and the noise power of the received signal ;

[0038] Select the average power constraint algorithm and calculate the amplification gain ;

[0039]

[0040] 4) Generate chaotic signals from chaotic circuits and digitize them into chaotic sequences;

[0041] 5) The scalar gain is amplified Perform XOR operation with chaotic sequence as entropy source to obtain true random numbers;

[0042] 6) Adjust the true random sequence to a suitable output range to obtain a usable true random sequence.

[0043] like Figure 2 As shown, an embodiment of a random number generation method and device based on wireless relay and chaotic circuit includes:

[0044] The wireless relay unit 201 is used to obtain the wireless signal to be relayed and trigger the gain processing unit;

[0045] a gain processing unit 202 for calculating the wireless relay gain as a type of true random source;

[0046] The chaotic circuit unit 203 is used to generate a chaotic sequence as a type of random source;

[0047] The data mixing unit 204 is used to mix the two types of random sources to generate high-quality random numbers;

[0048] The random number generating unit 205 is used to process the mixed random number in terms of format and output range.

[0049] The above algorithms are merely illustrative. It should be noted that a wide variety of specific methods for random number generation have been implemented in the field, including pseudo-random number generators (PRNGs) and true random number generators (TRNGs). However, these methods often face challenges in practical applications, such as insufficient randomness or insufficient generation capacity. While these algorithms can offer some optimization in specific scenarios, adjustments to the underlying framework can have a more direct and significant impact. By adding chaotic circuit units, all existing algorithms can be adaptively adapted and repurposed, thereby improving random number quality and generation efficiency.

[0050] Application devices can be mobile devices, such as portable electronic devices that require high-security communications, IoT devices, or autonomous vehicles, or they can be stationary devices, such as servers or large computer systems used for scientific computing.

[0051] The above description is only an embodiment of the present invention and is not intended to limit the scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of this specification and drawings, or directly or indirectly applied to other related technical fields, is included in the scope of patent protection of the present invention.

Claims

1. A random number generation system based on a hybrid of wireless relay and chaotic circuit, characterized by: The invention comprises a wireless relay unit, a gain processing unit, a chaotic circuit unit, a data mixing unit and a random number generation unit. The wireless relay unit is responsible for receiving wireless communication signals and performing relay forwarding. The gain processing unit is connected to the wireless relay unit and can obtain the target signal strength of the signal to be relayed, dynamically adjust the signal amplification gain, and transmit the amplification factor information sequence to the data mixing unit. The chaotic circuit unit generates a random and unpredictable chaotic signal sequence and transmits it to the data mixing unit. The data mixing unit performs XOR mixing on the amplification factor information sequence data of the gain processing unit and the chaotic signal sequence generated by the chaotic circuit unit. The random number generation unit performs XOR mixing on the mixed sequence. The wireless relay unit is connected to the gain processing unit to obtain the wireless signal to be relayed, including but not limited to Wi-Fi signals and Bluetooth signals, and the collected signal data is preprocessed, including signal filtering and denoising. The gain processing unit monitors the signal strength in real time and can dynamically adjust the signal amplification gain using a forward amplification and forwarding (AF) signal gain algorithm according to transmission requirements to achieve the best reception state of the signal. The amplification gain is transmitted as an amplification factor information sequence to the data mixing unit. Due to random interference and fading in the wireless channel, the wireless relay gain is calculated as a type of true random source for extracting true random numbers.

2. The random number generation system based on a hybrid of wireless relay and chaotic circuit according to claim 1, characterized in that: The chaotic circuit unit includes Chua's chaotic circuit, which can generate chaotic signals based on nonlinear dynamic characteristics and digitize the chaotic signals into chaotic sequences. The generated chaotic sequences are transmitted to the data mixing unit as a type of random source. The chaotic circuit unit is connected to the data mixing unit.

3. The random number generation system based on a hybrid of wireless relay and chaotic circuit according to claim 1, characterized in that: The system adopts a modular structure design, and each functional unit is relatively independent, which is convenient for expansion and maintenance. The system can be flexibly adjusted and configured to meet the requirements of different environments and application scenarios.

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