Method and system for secure information transmission of IoT devices based on quantum key

Abstract

The present invention provides a method and system for secure information transmission of Internet of Things devices based on quantum keys, wherein the method comprises: performing star topology distribution processing on entangled photon pairs generated by a quantum entanglement source, distributing them to various Internet of Things nodes, and generating quantum entangled pairs; then using the quantum entangled pairs to measure the dynamic basis of a quantum random number generator, and generating an original quantum key; then performing segmentation and pattern matching on the original quantum key to obtain a hybrid quantum-classical encryption scheme, and based on this scheme, verifying the quantum state signature of the Internet of Things device, forming a quantum enhanced security handshake protocol supporting many-to-many communication; then analyzing communication data through quantum machine learning, predicting attack trends, and generating quantum security situation awareness results; finally, performing quantum link layer encryption and authentication on data frames to be transmitted between Internet of Things devices according to the situation awareness results, to ensure the secure transmission of the data frames.

Description

Technical Field

[0001] The present invention relates to the field of quantum encryption, and in particular to a method and system for securely transmitting information of an Internet of Things device based on a quantum key. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, more and more smart devices are connected to the network, realizing the interconnection between devices. However, as the scale of IoT expands, data security issues are becoming increasingly prominent. Traditional encryption technologies, such as encryption schemes based on public keys and symmetric keys, can provide a certain degree of security, but in the face of the development of quantum computing technology, these traditional encryption methods will gradually lose their effectiveness. Quantum computers can crack encryption algorithms based on large integer decomposition and discrete logarithms through large-scale parallel processing, which poses a huge challenge to the existing public key cryptography system. Therefore, how to ensure the information security of IoT devices in the face of quantum computing attacks has become an urgent problem to be solved.

[0003] In recent years, quantum key distribution (QKD) technology has been seen as an effective solution to resist quantum computing attacks. QKD is based on the principles of quantum mechanics and can ensure that keys cannot be eavesdropped during transmission, thereby greatly improving the security of communications. However, existing quantum key distribution technologies are mainly focused on point-to-point communication scenarios and lack effective support for many-to-many IoT device communications. In addition, existing quantum key distribution solutions are difficult to perform effective situational awareness and preventive attack predictions in dynamic IoT environments, resulting in IoT devices still having security risks in complex attack scenarios. Summary of the invention

[0004] The main purpose of the present invention is to solve the technical problem that the existing quantum key distribution technology is mainly concentrated in point-to-point communication scenarios and lacks effective support for many-to-many IoT device communications.

[0005] The first aspect of the present invention provides a method for securely transmitting information of an Internet of Things device based on a quantum key, and the method for securely transmitting information of an Internet of Things device based on a quantum key comprises:

[0006] Perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node;

[0007] According to the quantum entanglement, a dynamic basis generated by a quantum random number generator is measured and processed to obtain an original quantum key;

[0008] The original quantum key is segmented and pattern-matched to obtain a hybrid quantum-classical encryption scheme, and the quantum state signature of the IoT device is verified according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication;

[0009] Performing quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation awareness result that can predict attack trends;

[0010] According to the quantum security situation awareness result, quantum link layer encryption and authentication processing are performed on the data frames to be transmitted between IoT devices to obtain and transmit data frames that can be securely transmitted.

[0011] Optionally, in a first implementation of the first aspect of the present invention, the performing star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node includes:

[0012] Performing parametric down-conversion processing on high-energy photons to obtain entangled photon pairs, and performing optical coupling processing on nonlinear crystals based on the entangled photon pairs to obtain high-quality entangled states;

[0013] Performing quantum error correction coding processing on the high-quality entangled state to obtain a noise-resistant coded entangled state;

[0014] Performing cascade configuration processing on quantum repeaters according to the noise-resistant coded entangled state to obtain a quantum channel capable of extending the transmission distance;

[0015] The quantum channel capable of extending the transmission distance is distributed in a star topology structured manner to obtain quantum entangled pairs distributed in each IoT node.

[0016] Optionally, in a second implementation of the first aspect of the present invention, the measuring and processing a dynamic basis generated by a quantum random number generator according to the quantum entanglement to obtain an original quantum key includes:

[0017] Perform quantum state superposition processing on single-photon detectors to obtain a quantum random number generator with true randomness;

[0018] Dynamically selecting and processing the measurement basis according to the quantum random number generator to obtain a quantum measurement sequence;

[0019] Performing entangled state projection processing on the quantum measurement sequence to obtain an original measurement result with strong correlation, and performing basis information exchange processing on the classical communication channel according to the original measurement result to obtain a consistent measurement result;

[0020] The consistency measurement result is subjected to quantum error correction and privacy amplification processing to obtain the original quantum key.

[0021] Optionally, in a third implementation manner of the first aspect of the present invention, the segmentation and pattern matching processing of the original quantum key to obtain a hybrid quantum-classical encryption scheme, and the verification processing of the quantum state signature of the Internet of Things device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol supporting many-to-many communication includes:

[0022] Perform entropy analysis and segmentation processing on the original quantum key to obtain a multi-level key structure suitable for different encryption algorithms;

[0023] Dynamically configuring the encryption mode selector according to the multi-level key structure to obtain a hybrid quantum-classical encryption scheme;

[0024] Performing quantum state encoding processing on the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication;

[0025] Performing parallel verification processing on multiple quantum state comparators according to the quantum signature to obtain a quantum authentication result supporting many-to-many communication;

[0026] The quantum authentication result is subjected to quantum entanglement exchange processing to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology.

[0027] Optionally, in a fourth implementation manner of the first aspect of the present invention, performing quantum entanglement exchange processing on the quantum authentication result to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology includes:

[0028] Performing quantum state decomposition processing on the quantum authentication result to obtain a multi-party entangled state set, and dynamically configuring the quantum entanglement exchanger according to the multi-party entangled state set to obtain an entanglement exchange network that can establish a direct quantum channel between any two authentication devices;

[0029] Performing quantum routing algorithm optimization processing on the entanglement exchange network to obtain an adaptive quantum communication graph that supports dynamic topology changes;

[0030] Parallelizing the quantum state transmission protocol according to the adaptive quantum communication graph to obtain a quantum multiplexing mechanism capable of simultaneously processing secure handshakes between multiple pairs of devices;

[0031] The quantum multiplexing mechanism is subjected to quantum error correction coding processing to obtain a quantum enhanced security handshake protocol that maintains high fidelity in a noisy environment.

[0032] Optionally, in a fifth implementation of the first aspect of the present invention, the performing quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation awareness result that can predict attack trends includes:

[0033] Perform quantum state encoding processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a high-dimensional quantum feature vector;

[0034] Performing quantum state input processing on a pre-trained quantum anomaly detector according to the high-dimensional quantum feature vector to obtain a real-time anomaly measurement result;

[0035] Performing quantum threshold analysis on the real-time abnormal measurement results to obtain a potential threat event sequence;

[0036] Applying the potential threat event sequence to the preset quantum association rule mining algorithm to obtain a multi-dimensional security event association graph;

[0037] The multi-dimensional security event association graph is subjected to quantum graph evolution processing to obtain a quantum security situation awareness result that can predict attack trends.

[0038] Optionally, in a sixth implementation of the first aspect of the present invention, performing quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness result, and obtaining and transmitting the data frames that can be securely transmitted includes:

[0039] Perform security strategy mapping on the quantum security situation awareness results to obtain a dynamically adjusted quantum link layer security parameter set;

[0040] Performing quantum state superposition encoding processing on the data frame to be transmitted according to the quantum link layer security parameter set to obtain a quantum encrypted data frame;

[0041] Performing quantum authentication code generation processing on the quantum encrypted data frame to obtain a quantum authentication data frame with tamper-proof capability;

[0042] Calibrate the quantum time synchronization mechanism according to the quantum authentication data frame with tamper-proof capability to obtain a secure data frame with a quantum timestamp;

[0043] The secure data frame with the quantum timestamp is subjected to quantum entangled state transmission processing to obtain and transmit a data frame that can be securely transmitted in a quantum channel.

[0044] The second aspect of the present invention provides a quantum key-based Internet of Things device information security transmission system, the quantum key-based Internet of Things device information security transmission system comprising:

[0045] The topology module is used to perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node;

[0046] A key generation module, used for measuring and processing the dynamic basis generated by the quantum random number generator according to the quantum entanglement to obtain an original quantum key;

[0047] A protocol generation module is used to perform segmentation and pattern matching on the original quantum key to obtain a hybrid quantum-classical encryption scheme, and verify the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication;

[0048] A perception module is used to perform quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation perception result that can predict attack trends;

[0049] The transmission module is used to perform quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness results, and obtain and transmit data frames that can be securely transmitted.

[0050] The above-mentioned method and system for secure information transmission of IoT devices based on quantum keys, by performing star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source, distribute them to each IoT node, and generate quantum entangled pairs; then use the quantum entangled pairs to measure the dynamic basis of the quantum random number generator to generate the original quantum key; then segment and pattern match the original quantum key to obtain a hybrid quantum-classical encryption scheme, and based on this scheme, verify the quantum state signature of the IoT device to form a quantum enhanced security handshake protocol that supports many-to-many communication; then analyze the communication data through quantum machine learning, predict the attack trend, and generate quantum security situation awareness results; finally, according to the situation awareness results, the data frames to be transmitted between IoT devices are encrypted and authenticated at the quantum link layer to ensure the secure transmission of the data frames.

[0051] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0052] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1This is a schematic diagram of a first embodiment of a method for securely transmitting information of an Internet of Things device based on a quantum key in an embodiment of the present invention;

[0054] Figure 2 This is a schematic diagram of an embodiment of a quantum key-based Internet of Things device information security transmission system in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The terms "including" and "having" and any variations thereof mentioned in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device end including a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or device ends.

[0057] To facilitate understanding of this embodiment, a method for secure information transmission of IoT devices based on quantum keys disclosed in an embodiment of the present invention is first introduced in detail. Figure 1 As shown, the method comprises the following steps:

[0058] 101. Perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node;

[0059] In one embodiment of the present invention, the star-topology distribution processing of the entangled photon pairs generated by the quantum entanglement source to obtain the quantum entangled pairs distributed in each IoT node includes: parametric down-conversion processing of high-energy photons to obtain entangled photon pairs, and optical coupling processing of nonlinear crystals according to the entangled photon pairs to obtain high-quality entangled states; quantum error correction coding processing of the high-quality entangled states to obtain noise-resistant coded entangled states; cascade configuration processing of quantum repeaters according to the noise-resistant coded entangled states to obtain quantum channels with the ability to extend transmission distances; star-topology structured distribution processing of the quantum channels with the ability to extend transmission distances to obtain quantum entangled pairs distributed in each IoT node.

[0060] Specifically, the process of parametric down-conversion of high-energy photons utilizes nonlinear optical crystals, such as β-barium borate (BBO) or periodically poled lithium niobate (PPLN) crystals. When high-energy pump photons are incident on these crystals, a high-energy photon is split into two photons with lower energy and longer wavelength through the spontaneous parametric down-conversion (SPDC) process. This pair of photons maintains an entangled relationship in quantum states such as energy, momentum and polarization, forming an entangled photon pair. Subsequently, these entangled photon pairs are guided to a precisely designed optical coupling system. The system contains a series of collimating mirrors, focusing mirrors and wavelength selective filters to ensure that the entangled photons can be efficiently coupled to the nonlinear crystal. In the nonlinear crystal, the entangled photon pairs undergo a second harmonic generation (SHG) process, which enhances the entanglement strength between the photons while maintaining their coherence. By finely adjusting the temperature and incident angle of the crystal, the phase matching conditions can be optimized to obtain high-quality entangled states. After obtaining a high-quality entangled state, the next step is to perform quantum error correction coding. This step uses quantum error correction codes, such as stabilizer codes or surface codes. The encoding process involves expanding a single logical quantum bit into an entangled state of multiple physical quantum bits. Specifically, quantum gate operations, such as CNOT gates and Hadamard gates, can be used to convert the original entangled state into a redundant coded state. This coding structure allows the overall quantum information to be kept unchanged while measuring some quantum bits, thereby achieving error detection and correction, and obtaining a noise-resistant coded entangled state. In order to extend the transmission distance of quantum information, the technical solution introduces a cascade configuration of quantum repeaters. Quantum repeaters work based on the principle of quantum entanglement exchange and contain quantum storage units and Bell state measurement devices. In the cascade configuration, multiple quantum repeaters are evenly distributed along the transmission path. Each repeater receives photons from adjacent nodes, performs Bell state measurements, and then transmits the measurement results to the next node through a classical channel. This cascade structure effectively overcomes the attenuation problem of quantum signals and significantly extends the effective transmission distance of quantum channels. Finally, the quantum channels with the ability to extend the transmission distance are distributed in a star topology. This step designs a centralized quantum distribution center as the hub of the star network. The center is equipped with high-performance quantum entanglement sources and sophisticated quantum state manipulation equipment. When distributing quantum entangled pairs from the center to each IoT node, time division multiplexing technology is used to send entangled photons in different directions according to a predetermined sequence. Each IoT node is equipped with a quantum receiver and a quantum storage unit to capture and temporarily store received entangled photons. Through precise time synchronization and quantum state conversion, a high-quality quantum entanglement relationship is established between each pair of IoT nodes. This star topology not only simplifies network management, but also improves the overall utilization efficiency of quantum resources, and ultimately establishes a stable and reliable distribution of quantum entangled pairs between IoT nodes.

[0061] 102. According to quantum entanglement, the dynamic basis generated by the quantum random number generator is measured and processed to obtain the original quantum key;

[0062] In one embodiment of the present invention, the measuring and processing of the dynamic basis generated by the quantum random number generator according to the quantum entanglement to obtain the original quantum key includes: performing quantum state superposition processing on the single photon detector to obtain a quantum random number generator with true randomness; dynamically selecting the measurement basis according to the quantum random number generator to obtain a quantum measurement sequence; performing entangled state projection processing on the quantum measurement sequence to obtain an original measurement result with strong correlation, and performing basis information exchange processing on the classical communication channel according to the original measurement result to obtain a consistent measurement result; performing quantum error correction and privacy amplification processing on the consistent measurement result to obtain the original quantum key.

[0063] Specifically, the process of quantum state superposition of single photon detectors uses superconducting nanowire single photon detectors (SNSPD) or avalanche photodiodes (APD) as basic hardware. By placing these detectors in a quantum superposition state, for example, using the polarization state or path state of the photon, a quantum bit is created. Specifically, the incident photon can be placed in a superposition state of horizontal and vertical polarization through a combination of a half-wave plate and a polarization beam splitter. When this superposition state photon is measured by the detector, its collapse to the ground state provides true quantum randomness, thereby forming a quantum random number generator with true randomness. Next, this quantum random number generator is used to dynamically select the measurement basis. This step uses quantum state rotation technology to map random numbers to different points on the Bloch sphere to determine the measurement basis. In specific implementation, an electro-optic modulator or an acousto-optic modulator can be used to adjust the angle or phase of the measurement device incident on the entangled photon pair in real time according to the output of the quantum random number. This dynamic selection process ensures the unpredictability of the measurement basis and generates a series of random quantum measurement sequences. Subsequently, this quantum measurement sequence is subjected to entangled state projection processing. This step uses the properties of quantum entangled pairs to measure both photons in the entangled pair at the same time. The measurement device includes a polarization beam splitter and a single photon detector. When the entangled photon pair passes through these devices, their quantum states are projected onto the selected measurement basis. Due to the nature of quantum entanglement, the measurement results of the two photons are strongly correlated with each other, although they are random. This correlation is reflected in the statistical distribution of the measurement results, forming a highly correlated original measurement result. After obtaining the original measurement results, the communicating parties need to exchange basis information through a classical communication channel. This process does not involve the exchange of actual measurement results, but only the basis information used for each measurement. The communicating parties compare their respective basis selections, retain those results measured using the same basis, and discard those using different basis. This step is completed through a secure classical communication protocol, such as encrypted communication using a pre-shared key. Through this basis information exchange process, the two parties can obtain a consistent set of measurement results. Finally, these consistent measurement results are processed with quantum error correction and privacy amplification. The quantum error correction process uses a cascade protocol or low-density parity-check code (LDPC) to correct possible errors. In specific implementation, the communicating parties exchange parity information of some measurement results, and find and correct inconsistent bits through comparison. Privacy amplification uses a universal hash function to compress the original key into a shorter but more secure key. This process can use Toeplitz matrix multiplication to map the original bit string to a shorter random matrix. Through these processes, a highly secure original quantum key is finally obtained. This key has information-theoretic security and can be used for subsequent encrypted communications.

[0064] 103. Perform segmentation and pattern matching on the original quantum key to obtain a hybrid quantum-classical encryption scheme, and verify the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication;

[0065] In one embodiment of the present invention, the segmentation and pattern matching processing of the original quantum key to obtain a hybrid quantum-classical encryption scheme, and the verification processing of the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol supporting many-to-many communication includes: entropy analysis and segmentation processing of the original quantum key to obtain a multi-level key structure suitable for different encryption algorithms; dynamic configuration processing of the encryption mode selector according to the multi-level key structure to obtain a hybrid quantum-classical encryption scheme; quantum state encoding processing of the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication; parallel verification processing of multi-party quantum state comparators according to the quantum signature to obtain a quantum authentication result supporting many-to-many communication; quantum entanglement exchange processing of the quantum authentication result to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology.

[0066] Specifically, the process of entropy analysis and segmentation of the original quantum key uses the von Neumann entropy calculation method in quantum information theory to conduct in-depth analysis of the original quantum key. Specifically, the original quantum key is regarded as a quantum state, represented by a density matrix, and then its eigenvalue is calculated to obtain the entropy value of the quantum state. Based on this entropy analysis result, the original quantum key is intelligently segmented and divided into multiple sub-key segments. Each sub-key segment is assigned to a different security level according to its entropy value characteristics, forming a multi-level key structure. This structure includes a high entropy value segment for one-time pad (OTP) encryption, a medium entropy value segment for symmetric encryption algorithms such as AES, and a low entropy value segment used as a seed for a key derivation function. Subsequently, the encryption mode selector is dynamically configured according to this multi-level key structure. The encryption mode selector is a programmable logic device, such as a field programmable gate array (FPGA). It receives the input of the multi-level key structure and dynamically selects the most suitable encryption mode according to the preset security policy and the current network status. For example, for highly sensitive short messages, the selector will enable OTP mode and use a high entropy key segment; for large amounts of data transmission, the selector will select AES encryption mode and use a medium entropy key segment. This dynamic configuration process combines the security of quantum keys with the efficiency of classical encryption algorithms to form a flexible hybrid quantum-classical encryption scheme. Next, this hybrid quantum-classical encryption scheme is quantum state encoded to generate a quantum signature for device authentication. This step uses quantum state preparation technology, such as quantum state encoders, to encode key parameters of the encryption scheme into quantum states. In specific implementations, multiple degrees of freedom of photons, such as polarization, path, and orbital angular momentum, can be used to encode information. For example, a series of half-wave plates and quarter-wave plates are used to modulate the polarization state of photons, or a spatial light modulator is used to control the spatial pattern of photons to create a unique quantum state sequence. This quantum state sequence serves as the quantum signature of the device and contains key information about the device identity and encryption scheme. Then, multi-party quantum state comparators are verified in parallel based on this quantum signature. The multi-party quantum state comparator is a distributed quantum computing system consisting of multiple quantum nodes, each equipped with a quantum state measurement device and a quantum storage unit. When a device attempts to join the network, its quantum signature is sent to multiple comparison nodes simultaneously. Each node performs quantum state measurement independently and compares the result with a pre-stored database of quantum signatures of authorized devices. This parallel verification process not only increases the authentication speed, but also enhances the system's anti-interference ability. By aggregating the verification results of each node, the system obtains a comprehensive quantum authentication result that supports many-to-many communication scenarios. Finally, this quantum authentication result is processed by quantum entanglement exchange to establish a quantum enhanced security handshake protocol that can communicate securely in a dynamic network topology.The quantum entanglement exchange process uses a network of quantum repeaters to establish end-to-end quantum entanglement between authenticated devices. Specifically, the relay node performs Bell state measurements to connect the entangled pairs shared with the two end nodes to form entanglement across longer distances. This entanglement exchange process can be gradually expanded to eventually establish a quantum entanglement link between any two points in the network. Based on these quantum entanglement links, devices can execute quantum key distribution protocols, such as the BBM92 protocol, to generate shared security keys. This process automatically adapts to changes in the network topology. When new devices join or existing devices leave, the system can dynamically reconstruct the quantum entanglement network to maintain secure communication capabilities.

[0067] Furthermore, the quantum authentication result is subjected to quantum entanglement exchange processing to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology, including: performing quantum state decomposition processing on the quantum authentication result to obtain a multi-party entangled state set, and dynamically configuring the quantum entanglement exchanger according to the multi-party entangled state set to obtain an entanglement exchange network that can establish a direct quantum channel between any two authentication devices; performing quantum routing algorithm optimization processing on the entanglement exchange network to obtain an adaptive quantum communication graph that supports dynamic topology changes; performing parallel processing on the quantum state transmission protocol according to the adaptive quantum communication graph to obtain a quantum multiplexing mechanism that can simultaneously process secure handshakes between multiple pairs of devices; performing quantum error correction coding processing on the quantum multiplexing mechanism to obtain a quantum enhanced security handshake protocol that maintains high fidelity in a noisy environment.

[0068] Specifically, the process of quantum state decomposition of quantum authentication results uses quantum state tomography technology to reconstruct the complete quantum state of the quantum authentication results of each device. Specifically, through a series of complementary quantum measurements, such as projection measurements using different bases, sufficient data is collected to reconstruct the density matrix of the quantum state. Then, the singular value decomposition (SVD) algorithm is used to decompose this density matrix to extract the basic entangled pairs that constitute the quantum state. This decomposition process produces a multi-party entangled state set, which contains the potential entanglement relationship between all authenticated devices in the network. Subsequently, the quantum entanglement switch is dynamically configured according to this multi-party entangled state set. The quantum entanglement switch is a complex system composed of quantum storage units, Bell state measurement devices, and classical communication modules. The configuration process first involves mapping the information in the multi-party entangled state set to the physical resources of the switch. For example, an atomic ensemble or a superconducting quantum bit is used as a quantum storage unit to store the quantum state of each entangled pair. Then, the Bell state measurement device is prepared through precisely controlled quantum gate operations, such as CNOT gates and Hadamard gates. The classical control module of the switch dynamically schedules the execution order and frequency of Bell state measurements according to the network topology information and entanglement requirements. This dynamic configuration enables the entanglement switch to establish a direct quantum channel between any two authenticated devices on demand, forming a flexible entanglement exchange network. Next, the entanglement exchange network is optimized by the quantum routing algorithm. This step uses quantum heuristic algorithms, such as quantum genetic algorithms or quantum annealing algorithms, to optimize the entanglement distribution path in the network. The algorithm considers multiple factors, including the fidelity of the quantum channel, the availability of entanglement resources, and the dynamic changes in the network topology. In specific implementation, the network state can be encoded using quantum bits, and then the path selection process can be simulated through quantum gate operations. The optimization goal is to maximize the end-to-end entanglement fidelity while minimizing resource consumption. The output of this process is an adaptive quantum communication graph that supports dynamic topology changes and reflects the optimal entanglement distribution path in the network in real time. Then, the quantum state transmission protocol is parallelized according to this adaptive quantum communication graph. This step uses the parallelism of quantum many-body systems to design a quantum multiplexing mechanism that can simultaneously handle secure handshakes between multiple pairs of devices. Specifically, quantum frequency diversity technology is used to distribute quantum communications between different pairs of devices to different frequency channels. Each frequency channel uses an independent quantum carrier, such as photons of different frequencies or atomic states of different energy levels. Through precise frequency-selective quantum operations, such as Raman transitions or selective π pulses, parallel operation of multiple quantum channels is achieved. This mechanism allows the network to perform multiple secure handshake processes in the same time period, greatly improving the throughput and efficiency of the system. Finally, quantum error correction coding is performed on this quantum multiplexing mechanism.This step applies advanced quantum error correction codes, such as surface codes or topological codes, to enhance the robustness of quantum information in noisy environments. The encoding process involves expanding each logical qubit into an entangled state of multiple physical qubits. For example, using the 7-qubit Steane code, a single logical bit is encoded into an entangled state of 7 physical bits. Then, through continuous error symptom measurement and correction operations, errors in the quantum state are monitored and repaired in real time. This quantum error correction coding is not only applied to statically stored quantum information, but also extended to dynamic transmission processes. By embedding error correction mechanisms such as quantum repetition codes or quantum convolution codes in the transmission protocol, it is ensured that quantum information maintains high fidelity during transmission.

[0069] 104. Perform quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain quantum security situation awareness results that can predict attack trends;

[0070] In one embodiment of the present invention, the communication data executed by the quantum enhanced security handshake protocol is subjected to quantum machine learning analysis and processing to obtain a quantum security situation awareness result that can predict the attack trend, including: performing quantum state encoding processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a high-dimensional quantum feature vector; performing quantum state input processing on a pre-trained quantum anomaly detector according to the high-dimensional quantum feature vector to obtain a real-time anomaly measurement result; performing quantum threshold analysis processing on the real-time anomaly measurement result to obtain a potential threat event sequence; applying processing on the potential threat event sequence according to a preset quantum association rule mining algorithm to obtain a multi-dimensional security event association graph; performing quantum graph state evolution processing on the multi-dimensional security event association graph to obtain a quantum security situation awareness result that can predict the attack trend.

[0071] Specifically, the process of quantum state encoding processing of communication data uses quantum state encoding technology to map classical data to quantum state space. Specifically, the amplitude encoding method is used to represent each data point as a quantum state of a multi-qubit system. For example, a 2^n-dimensional feature vector can be encoded using n qubits. Through carefully designed quantum circuits, including single-qubit rotation gates and multi-qubit control gates, the various features of the communication data are converted into the amplitude distribution of the quantum state. This encoding method not only retains the statistical characteristics of the original data, but also uses the principle of quantum superposition to enable high-dimensional data to be compactly represented on fewer qubits to form a high-dimensional quantum feature vector. Subsequently, the pre-trained quantum anomaly detector is processed for quantum state input according to this high-dimensional quantum feature vector. The quantum anomaly detector is a model based on a quantum support vector machine (QSVM) or a quantum neural network (QNN), which is implemented on a quantum processor. During the input processing, the high-dimensional quantum feature vector is loaded into the input register of the quantum anomaly detector through a quantum state transfer protocol. Then, the input state is transformed through a series of parameterized quantum gate operations, such as rotation gates and controlled NOT gates. The parameters of these operations are optimized by quantum variational algorithms during the pre-training phase. The detector uses quantum parallelism to evaluate multiple decision boundaries simultaneously, thereby identifying abnormal patterns with exponential acceleration. Finally, through quantum measurement operations, the quantum state is projected into the classical result space to obtain a real-time abnormal measurement result. Next, this real-time abnormal measurement result is subjected to quantum threshold analysis. This step uses a quantum amplitude estimation algorithm to accurately quantify the abnormal measurement result. In the specific implementation, a quantum phase estimation circuit is constructed to encode the abnormal measurement result into the phase of the target quantum bit. By applying quantum Fourier transform and inverse transform, this phase can be estimated with exponential accuracy to obtain a high-precision quantification value of the degree of abnormality. Then, a quantum comparator circuit is used to compare this quantization value with multiple preset thresholds in parallel. The comparison result is converted into classical information through quantum measurement to form a Boolean vector indicating different levels of abnormality. This process outputs a sequence of potential threat events, each with an accurate quantification of its degree of abnormality. Then, this sequence of potential threat events is applied according to the preset quantum association rule mining algorithm. The quantum association rule mining algorithm is based on quantum Grover search and quantum amplitude amplification technology. First, the threat event sequence is encoded into a quantum state, with each quantum bit representing the occurrence of an event. Then, a quantum oracle is constructed to check whether the combination of events satisfies the predefined association rules. By repeatedly applying Grover iterations, the algorithm is able to find the combination of events that satisfies the association rules in square root time. This process can be performed multiple times in parallel to explore association rules of different strengths and types.Finally, through quantum measurement and post-processing, the discovered association rules are organized into a multidimensional security event association graph, where nodes represent events and edges represent association strengths. Finally, the multidimensional security event association graph is subjected to quantum graph state evolution processing. This step applies the quantum walk algorithm to simulate the evolution of the attack pattern. First, the security event association graph is mapped into a quantum walk Hilbert space, where each node of the graph corresponds to an orthogonal quantum ground state. Then, a quantum walk operator is designed, whose evolution rules reflect the propagation characteristics of the attack pattern. This operator contains the transfer amplitude and phase information between nodes, encoding the probability and impact of the attack. By iteratively applying this quantum walk operator, the system simulates the propagation process of the attack pattern in the network. After each iteration, the quantum state tomography technique is used to reconstruct the quantum state of the entire graph to track the evolution of the attack trend. Finally, by analyzing the evolution trajectory of the quantum graph state, key evolution features are extracted, such as the change in the occupancy probability of a specific node or the evolution of the global entanglement degree, so as to obtain quantum security situation awareness results that can predict attack trends.

[0072] 105. Based on the quantum security situation awareness results, the data frames to be transmitted between IoT devices are encrypted and authenticated at the quantum link layer to obtain and transmit data frames that can be transmitted securely.

[0073] In one embodiment of the present invention, the step of performing quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness results to obtain and transmit data frames that can be securely transmitted includes: performing security strategy mapping processing on the quantum security situation awareness results to obtain a dynamically adjusted quantum link layer security parameter set; performing quantum state superposition coding processing on the data frames to be transmitted according to the quantum link layer security parameter set to obtain quantum encrypted data frames; performing quantum authentication code generation processing on the quantum encrypted data frames to obtain quantum authentication data frames with tamper-proof capability; performing calibration processing on the quantum time synchronization mechanism according to the quantum authentication data frames with tamper-proof capability to obtain secure data frames with quantum timestamps; performing quantum entangled state transmission processing on the secure data frames with quantum timestamps to obtain and transmit data frames that can be securely transmitted in quantum channels.

[0074] Specifically, the quantum security situation perception results are processed by security policy mapping. This process uses the quantum decision tree algorithm to convert complex security situation information into specific security policy parameters. Specifically, a quantum circuit is constructed in which each quantum bit represents a security policy option. By applying a series of controlled rotating gates, the state of each quantum bit is adjusted according to the different characteristics of the security situation. Then, the state of these quantum bits is read using quantum measurement technology to obtain a set of discrete security policy decisions. These decisions are further mapped to specific quantum link layer security parameters, such as encryption strength, authentication complexity, and key update frequency, to form a dynamically adjusted quantum link layer security parameter set. Subsequently, quantum state superposition encoding is performed on the data frame to be transmitted according to this quantum link layer security parameter set. This step uses quantum state encoding technology to convert classical data frames into quantum superposition states. In specific implementation, a series of quantum gate operations, such as Hadamard gates and rotating gates, are used to map each classical bit to the superposition state of the quantum bit. The specific parameters of the encoding process, such as phase and amplitude, are dynamically adjusted by the previously obtained security parameter set. For example, in high-threat situations, the complexity of the superposition state may be increased and more entangled quantum bits may be used. This encoding not only encrypts the original data, but also increases the security of the data by using the principle of quantum superposition, because any unauthorized measurement will cause the quantum state to collapse, thereby exposing potential eavesdropping. The output of this process is a quantum encrypted data frame, which is a secure representation of the original data in the quantum state space. Next, this quantum encrypted data frame is processed for quantum authentication code generation. This step uses a quantum hash function to create a unique quantum authentication code based on quantum fingerprint technology. Specifically, a quantum circuit is constructed, the quantum state of the encrypted data frame is used as input, and the input state is converted into a quantum hash value of a fixed size through a series of irreversible quantum gate operations, such as CNOT gates and Toffoli gates. This quantum hash value is collapsing and unpredictable, and any tampering with the data frame will result in a significant change in the hash value. Then, this quantum hash value is entangled with the original quantum encrypted data frame to form a complete quantum authentication data frame. This method not only provides data integrity verification, but also enhances tamper-proof capabilities by using the characteristics of quantum entanglement. Then, the quantum time synchronization mechanism is calibrated based on this tamper-proof quantum authentication data frame. This step uses the quantum clock synchronization protocol to embed a high-precision quantum timestamp in the data frame. In specific implementation, entangled photon pairs are used as the time reference, and precise time information is encoded into the data frame through quantum state transmission. This process involves quantum entanglement exchange and quantum teleportation technology to ensure the secure transmission and precise synchronization of time information. By comparing the local quantum clock and the received quantum timestamp, the system can detect and compensate for transmission delays and effectively prevent replay attacks.The output of this step is a secure data frame with a quantum timestamp, which not only contains encrypted and authenticated data, but also carries precise time information. Finally, this secure data frame with a quantum timestamp is processed by quantum entangled state transmission. This step uses a quantum entanglement distribution network to establish an end-to-end quantum secure channel. First, long-distance quantum entanglement is established between the communicating parties through a quantum repeater network. Then, the quantum state of the secure data frame is transmitted from the sender to the receiver using a quantum teleportation protocol. This process requires the assistance of a classical channel to transmit the necessary measurement results. During the transmission process, quantum error correction coding techniques, such as surface codes or topological codes, are used to protect quantum information from environmental noise. The receiver restores the original quantum data frame through quantum state reconstruction technology. This transmission method based on quantum entanglement provides theoretically unconditionally secure communication, because any eavesdropping attempt will destroy quantum entanglement and be immediately detected.

[0075] In this embodiment, the entangled photon pairs generated by the quantum entanglement source are distributed in a star topology to each IoT node to generate quantum entangled pairs; the quantum entangled pairs are then used to measure the dynamic basis of the quantum random number generator to generate the original quantum key; the original quantum key is then segmented and pattern matched to obtain a hybrid quantum-classical encryption scheme, and the quantum state signature of the IoT device is verified based on this scheme to form a quantum enhanced security handshake protocol that supports many-to-many communication; then, communication data is analyzed through quantum machine learning to predict attack trends and generate quantum security situation awareness results; finally, the data frames to be transmitted between IoT devices are encrypted and authenticated at the quantum link layer based on the situation awareness results to ensure the secure transmission of the data frames.

[0076] The above describes the method for secure transmission of information of IoT devices based on quantum keys in the embodiment of the present invention. The following describes the system for secure transmission of information of IoT devices based on quantum keys in the embodiment of the present invention. Figure 2 In one embodiment of the present invention, an Internet of Things device information security transmission system based on quantum key includes:

[0077] The topology module 201 is used to perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node;

[0078] A key generation module 202 is used to measure and process the dynamic basis generated by the quantum random number generator according to the quantum entanglement to obtain an original quantum key;

[0079] The protocol generation module 203 is used to perform segmentation and pattern matching processing on the original quantum key to obtain a hybrid quantum-classical encryption scheme, and verify the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication;

[0080] A perception module 204 is used to perform quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation perception result that can predict the attack trend;

[0081] The transmission module 205 is used to perform quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness results, and obtain and transmit data frames that can be securely transmitted.

[0082] In an embodiment of the present invention, the quantum key-based IoT device information security transmission system runs the above-mentioned quantum key-based IoT device information security transmission method. The quantum key-based IoT device information security transmission system performs star topology distribution processing on entangled photon pairs generated by a quantum entanglement source, distributes them to each IoT node, and generates quantum entangled pairs; then uses the quantum entangled pairs to measure the dynamic basis of the quantum random number generator to generate an original quantum key; then the original quantum key is segmented and pattern matched to obtain a hybrid quantum-classical encryption scheme, and based on this scheme, the quantum state signature of the IoT device is verified to form a quantum enhanced security handshake protocol that supports many-to-many communication; then, communication data is analyzed through quantum machine learning, attack trends are predicted, and quantum security situation awareness results are generated; finally, according to the situation awareness results, quantum link layer encryption and authentication are performed on the data frames to be transmitted between IoT devices to ensure the secure transmission of the data frames.

[0083] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system or system or unit described above can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0084] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0085] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for secure information transmission of Internet of Things devices based on quantum keys, characterized in that: The method for securely transmitting information of IoT devices based on quantum keys includes: Perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node; According to the quantum entanglement, a dynamic basis generated by a quantum random number generator is measured and processed to obtain an original quantum key; The original quantum key is segmented and pattern-matched to obtain a hybrid quantum-classical encryption scheme, and the quantum state signature of the IoT device is verified according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication; the segmented and pattern-matched original quantum key is segmented and pattern-matched to obtain a hybrid quantum-classical encryption scheme, and the quantum state signature of the IoT device is verified according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication, including: entropy analysis and segmentation of the original quantum key to obtain a multi-level key structure suitable for different encryption algorithms; dynamic configuration of the encryption mode selector according to the multi-level key structure to obtain a hybrid quantum-classical encryption scheme; quantum state encoding of the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication; parallel verification of multi-party quantum state comparators according to the quantum signature to obtain a quantum authentication result that supports many-to-many communication; quantum entanglement exchange of the quantum authentication result to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology; The step of performing quantum state encoding processing on the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication includes: encoding key parameters of the hybrid quantum-classical encryption scheme into quantum states to obtain a quantum state sequence, and using the quantum state sequence as a quantum signature; Performing quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation awareness result that can predict attack trends; According to the quantum security situation awareness result, quantum link layer encryption and authentication processing are performed on the data frames to be transmitted between IoT devices to obtain and transmit data frames that can be securely transmitted.

2. The method for secure transmission of information of IoT devices based on quantum keys according to claim 1 is characterized in that: The star-shaped topology distribution processing of the entangled photon pairs generated by the quantum entanglement source to obtain the quantum entangled pairs distributed in each IoT node includes: Performing parametric down-conversion processing on high-energy photons to obtain entangled photon pairs, and performing optical coupling processing on nonlinear crystals based on the entangled photon pairs to obtain high-quality entangled states; Performing quantum error correction coding processing on the high-quality entangled state to obtain a noise-resistant coded entangled state; Performing cascade configuration processing on quantum repeaters according to the noise-resistant coded entangled state to obtain a quantum channel capable of extending the transmission distance; The quantum channel capable of extending the transmission distance is distributed in a star topology structured manner to obtain quantum entangled pairs distributed in each IoT node.

3. The method for secure transmission of information of IoT devices based on quantum keys according to claim 1 is characterized in that: The measuring and processing of the dynamic basis generated by the quantum random number generator according to the quantum entanglement to obtain the original quantum key comprises: Perform quantum state superposition processing on single-photon detectors to obtain a quantum random number generator with true randomness; Dynamically selecting and processing the measurement basis according to the quantum random number generator to obtain a quantum measurement sequence; Performing entangled state projection processing on the quantum measurement sequence to obtain an original measurement result with strong correlation, and performing basis information exchange processing on the classical communication channel according to the original measurement result to obtain a consistent measurement result; The consistency measurement result is subjected to quantum error correction and privacy amplification processing to obtain the original quantum key.

4. The method for secure transmission of information of IoT devices based on quantum keys according to claim 1 is characterized in that: The quantum authentication result is subjected to quantum entanglement exchange processing to obtain a quantum enhanced security handshake protocol capable of establishing secure communication in a dynamic network topology, comprising: Performing quantum state decomposition processing on the quantum authentication result to obtain a multi-party entangled state set, and dynamically configuring the quantum entanglement exchanger according to the multi-party entangled state set to obtain an entanglement exchange network that can establish a direct quantum channel between any two authentication devices; Performing quantum routing algorithm optimization processing on the entanglement exchange network to obtain an adaptive quantum communication graph that supports dynamic topology changes; Parallelizing the quantum state transmission protocol according to the adaptive quantum communication graph to obtain a quantum multiplexing mechanism capable of simultaneously processing secure handshakes between multiple pairs of devices; The quantum multiplexing mechanism is subjected to quantum error correction coding processing to obtain a quantum enhanced security handshake protocol that maintains high fidelity in a noisy environment.

5. The method for secure transmission of information of IoT devices based on quantum keys according to claim 1 is characterized in that: The quantum machine learning analysis and processing of the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation awareness result capable of predicting attack trends includes: Perform quantum state encoding processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a high-dimensional quantum feature vector; Performing quantum state input processing on a pre-trained quantum anomaly detector according to the high-dimensional quantum feature vector to obtain a real-time anomaly measurement result; Performing quantum threshold analysis on the real-time abnormal measurement results to obtain a potential threat event sequence; Applying the potential threat event sequence to the preset quantum association rule mining algorithm to obtain a multi-dimensional security event association graph; The multi-dimensional security event association graph is subjected to quantum graph evolution processing to obtain a quantum security situation awareness result that can predict attack trends.

6. The method for secure transmission of information of IoT devices based on quantum keys according to claim 1 is characterized in that: The step of performing quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness result, and obtaining and transmitting the data frames that can be transmitted securely comprises: Perform security strategy mapping on the quantum security situation awareness results to obtain a dynamically adjusted quantum link layer security parameter set; Performing quantum state superposition encoding processing on the data frame to be transmitted according to the quantum link layer security parameter set to obtain a quantum encrypted data frame; Performing quantum authentication code generation processing on the quantum encrypted data frame to obtain a quantum authentication data frame with tamper-proof capability; Calibrate the quantum time synchronization mechanism according to the quantum authentication data frame with tamper-proof capability to obtain a secure data frame with a quantum timestamp; The secure data frame with the quantum timestamp is subjected to quantum entangled state transmission processing to obtain and transmit a data frame that can be securely transmitted in a quantum channel.

7. A quantum key-based Internet of Things device information security transmission system, characterized in that: The Internet of Things device information security transmission system based on quantum key includes: The topology module is used to perform star topology distribution processing on the entangled photon pairs generated by the quantum entanglement source to obtain quantum entangled pairs distributed in each IoT node; A key generation module, used for measuring and processing the dynamic basis generated by the quantum random number generator according to the quantum entanglement to obtain an original quantum key; The protocol generation module is used to perform segmentation and pattern matching on the original quantum key to obtain a hybrid quantum-classical encryption scheme, and verify the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication; the segmentation and pattern matching of the original quantum key to obtain a hybrid quantum-classical encryption scheme, and verify the quantum state signature of the IoT device according to the hybrid quantum-classical encryption scheme to obtain a quantum enhanced security handshake protocol that supports many-to-many communication, including: performing entropy analysis and segmentation on the original quantum key to obtain a multi-level key structure suitable for different encryption algorithms; dynamically configuring the encryption mode selector according to the multi-level key structure to obtain a hybrid quantum-classical encryption scheme; performing quantum state encoding on the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication; performing parallel verification on multi-party quantum state comparators according to the quantum signature to obtain a quantum authentication result that supports many-to-many communication; performing quantum entanglement exchange on the quantum authentication result to obtain a quantum enhanced security handshake protocol that can establish secure communication in a dynamic network topology; The step of performing quantum state encoding processing on the hybrid quantum-classical encryption scheme to obtain a quantum signature for device identity authentication includes: encoding key parameters of the hybrid quantum-classical encryption scheme into quantum states to obtain a quantum state sequence, and using the quantum state sequence as a quantum signature; A perception module is used to perform quantum machine learning analysis and processing on the communication data executed by the quantum enhanced security handshake protocol to obtain a quantum security situation perception result that can predict attack trends; The transmission module is used to perform quantum link layer encryption and authentication processing on the data frames to be transmitted between IoT devices according to the quantum security situation awareness results, and obtain and transmit data frames that can be securely transmitted.

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