A method and system for enhancing the security of computer communication links

Abstract

This application proposes a method and system for enhancing the security of computer communication links, belonging to the field of communication security. The method includes: receiving the start and end points of the communication link to be deployed, and matching a first set of virtual deployed communication links; traversing the first set of virtual deployed communication links to extract a set of quantum signal transmission influence parameters; searching for samples of communication links of the same mode based on a quantum state coding library, and statistically analyzing a first set of single-photon transmission bit error rates; performing minimum bit error rate sorting on the first set of virtual deployed communication links to obtain selected deployed communication links, which are then sent to the user terminal for recommendation. This application solves the technical problem in existing technologies where the lack of analysis of transmission influence parameters during quantum communication link deployment leads to excessively high single-photon transmission bit error rates and poor communication stability. It achieves the technical effect of reducing the bit error rate of quantum communication links and improving the stability and reliability of quantum communication transmission through optimized sorting of quantum signal transmission influence parameters.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication security, and in particular to a computer communication link security enhancement method and system. BACKGROUND

[0002] The security of a communication link is an important technical indicator of modern communication networks. Traditional communication security mainly relies on encryption algorithms and hash digest techniques based on computational complexity to achieve eavesdropping and tamper-proofing functions. However, traditional encryption methods have inherent defects: on the one hand, encryption algorithms based on computational complexity are at risk of being cracked if the computing power is strong enough; on the other hand, hash algorithms such as MD4, MD5, and SHA-1 all have collision vulnerabilities, i.e., different inputs can produce the same hash value, thus threatening the integrity of the data.

[0003] Quantum communication technology, as a new generation of communication security technology, is based on the basic principles of quantum mechanics and can guarantee the security of communication from the physical layer, and can completely prevent eavesdropping and tampering in theory. Quantum key distribution transmits single photons through a quantum channel to generate and distribute keys, and any eavesdropping on the quantum state will be detected, thus ensuring communication security. However, existing quantum communication technology still faces technical challenges in practical applications. Single photons are easily disturbed by dark counting, quantum channel service duration, quantum channel model, fiber vibration, environmental temperature, transmission distance, and other factors during transmission, resulting in unstable quantum signal transmission and high bit error rate. The current quantum communication link layout method lacks analysis and optimization of these transmission influencing parameters, often using an empirical layout scheme, which makes it difficult to achieve optimal transmission performance in actual deployment, affecting the practicality and reliability of quantum communication. SUMMARY

[0004] The present application provides a computer communication link security enhancement method and system to solve the technical problem of lack of analysis of transmission influencing parameters in the existing technology when laying out a quantum communication link, resulting in high single photon transmission bit error rate and poor communication stability.

[0005] The technical solution of the present application to solve the above technical problems is as follows:

[0006] In a first aspect, the present application provides a method for enhancing security of a computer communication link, comprising: receiving a starting point and an ending point of a communication link to be laid out, and matching a first set of virtually laid-out communication links; traversing the first set of virtually laid-out communication links, and extracting a set of quantum signal transmission influence parameters; based on a quantum state encoding library, traversing the set of quantum signal transmission influence parameters, retrieving a same-mode communication link sample, and counting a first set of single-photon transmission error rates; based on the first set of single-photon transmission error rates, performing minimum error rate sorting on the first set of virtually laid-out communication links, and obtaining a selected laid-out communication link to be sent to a user end for execution recommendation.

[0007] In a second aspect, the present application provides a system for enhancing security of a computer communication link, comprising: a link matching module, configured to receive a starting point and an ending point of a communication link to be laid out, and match a first set of virtually laid-out communication links; a parameter extraction module, configured to traverse the first set of virtually laid-out communication links, and extract a set of quantum signal transmission influence parameters; an error rate retrieval module, configured to, based on a quantum state encoding library, traverse the set of quantum signal transmission influence parameters, retrieve a same-mode communication link sample, and count a first set of single-photon transmission error rates; and an optimal sorting module, configured to, based on the first set of single-photon transmission error rates, perform minimum error rate sorting on the first set of virtually laid-out communication links, and obtain a selected laid-out communication link to be sent to a user end for execution recommendation.

[0008] The present application has the following advantages:

[0009] Receiving a starting point and an ending point of a communication link to be laid out, and matching a first set of virtually laid-out communication links, by receiving user-specified communication starting point and ending point position information, the specific demand range of quantum communication can be determined, so that all possible virtually laid-out communication links are matched to form the first set of virtually laid-out communication links, providing basic data for subsequent link optimization. Traversing the first set of virtually laid-out communication links, and extracting a set of quantum signal transmission influence parameters, by analyzing each link in the first set of virtually laid-out communication links one by one, key parameters affecting the quality of quantum signal transmission are extracted, providing a quantitative basis for link performance evaluation. Based on a quantum state encoding library, traversing the set of quantum signal transmission influence parameters, retrieving a same-mode communication link sample, and counting a first set of single-photon transmission error rates, accurate prediction of link transmission performance is realized. Based on the first set of single-photon transmission error rates, performing minimum error rate sorting on the first set of virtually laid-out communication links, and obtaining a selected laid-out communication link to be sent to a user end for execution recommendation, ensuring that the user obtains a quantum communication link layout scheme with the best transmission performance.

[0010] The above technical solution enables intelligent optimization of quantum communication link deployment. Compared to existing deployment methods, by extracting and quantifying transmission impact parameters and matching them with quantum state coding libraries, the single-photon transmission bit error rate of each link can be predicted. Furthermore, a minimum bit error rate selection strategy is used to choose the optimal deployment communication link. This effectively avoids the blindness of deployment based on experience, reduces the actual operating bit error rate of the quantum communication link, and improves the transmission stability and reliability of quantum communication, providing technical support for the practical deployment of quantum communication technology. Attached Figure Description

[0011] Figure 1 A flowchart illustrating a method for enhancing the security of a computer communication link provided by the present invention;

[0012] Figure 2 This is a schematic diagram of a security enhancement system for a computer communication link provided by the present invention.

[0013] In the attached diagram, the components represented by each number are as follows:

[0014] Link matching module 11, parameter extraction module 12, bit error rate retrieval module 13, and optimal sorting module 14. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0017] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0018] Example 1, as Figure 1 As shown, this embodiment of the invention provides a method for enhancing the security of a computer communication link, including:

[0019] S1. Receive the start and end points of the communication link to be deployed, and match the first virtual deployment communication link set.

[0020] Specifically, firstly, the user terminal receives the start and end points of the communication link to be deployed. The communication link to be deployed refers to a newly established or optimized quantum communication transmission link used to establish a secure quantum key distribution channel between two communication nodes; the start and end points refer to two geographical locations in the quantum communication network where a communication connection needs to be established, typically represented by geographical coordinates, specific addresses, or landmark locations.

[0021] After receiving the start and end points of the communication link to be deployed, all possible virtual communication links between the start and end points are planned, thus obtaining the first set of virtual communication links. These virtual communication links are candidate links generated through simulation before actual physical deployment, containing complete path planning information. Specifically, various feasible communication links connecting the start and end points are retrieved to generate the first set of virtual communication links. This first set of virtual communication links provides the foundational dataset for subsequent extraction of quantum signal transmission influence parameters and bit error rate analysis, ensuring that the optimal communication link can be selected from multiple virtual links.

[0022] By matching the first set of virtual communication links, a comprehensive set of candidate links for the communication links to be deployed can be obtained, providing a data foundation for enhancing the security of communication links.

[0023] S2. Traverse the first set of virtual communication links and extract the set of parameters affecting quantum signal transmission.

[0024] Specifically, after obtaining the first set of virtual deployed communication links, each virtual deployed communication link in the first set of virtual deployed communication links is traversed one by one. Traversal means visiting each virtual deployed communication link in the first set of virtual deployed communication links in a predetermined order and performing the same parameter extraction operation on each virtual deployed communication link.

[0025] During the traversal process, key parameters affecting the performance of quantum signal transmission are extracted for the currently processed virtual communication links, thus forming a set of parameters affecting quantum signal transmission. This set of parameters refers to the collection of various physical and environmental factors that may affect the quality of single-photon transmission during quantum communication, including dark count parameters, quantum channel service life parameters, quantum channel model parameters, fiber vibration parameters, ambient temperature parameters, and transmission distance parameters.

[0026] Among them, the dark count parameter is obtained by querying the technical specifications of the corresponding detector in the quantum communication equipment database, reflecting the background noise level of the detector when there is no photon input; the quantum channel service duration parameter is obtained by retrieving the usage records in the fiber optic equipment management system, representing the cumulative usage time of the dedicated fiber optic cable used to transmit single photons and perform quantum key distribution processes such as basis alignment, error correction, and security enhancement; the quantum channel model parameter is obtained by querying the fiber optic specification database, identifying the specific model and performance characteristics of the fiber optic cable used; the fiber optic vibration parameter is obtained by analyzing vibration monitoring data along the deployment path, describing the possible mechanical disturbances on the transmission path; the ambient temperature parameter is obtained by obtaining the temperature information of the corresponding geographical area in the meteorological database, reflecting the temperature environment conditions of the link; and the transmission distance parameter is obtained by calculating the path length of the virtual deployment communication link, representing the physical transmission distance from the starting point to the end point.

[0027] By fully traversing the first set of virtual communication links, a set of quantum signal transmission influence parameters was extracted. This set of quantum signal transmission influence parameters contains the transmission influence parameter data corresponding to all virtual communication links. This set of quantum signal transmission influence parameters provides a data foundation for subsequent same-mode communication link sample retrieval and bit error rate statistical analysis based on a quantum state coding library.

[0028] S3. Based on the quantum state coding library, traverse the set of quantum signal transmission influence parameters, retrieve samples of the same mode communication link, and statistically analyze the first single-photon transmission bit error rate set.

[0029] Specifically, after obtaining the set of parameters affecting quantum signal transmission, the set of parameters is iterated through one by one based on a pre-built quantum state encoding library. The quantum state encoding library is a database storing various quantum state encoding schemes, including paired combinations of local quantum state encodings and transmitted quantum state encodings, used for quantum state preparation and measurement basis selection in the quantum key distribution process.

[0030] During the traversal, based on the quantum signal transmission influence parameters currently being processed and combined with the encoding information in the quantum state encoding library, samples of the same-mode communication links with similar transmission conditions are retrieved from the historical database. These same-mode communication link samples refer to historical communication link records operating under the same or similar quantum state encoding methods and transmission environment parameters, possessing comparable transmission characteristics and performance. Specifically, using the encoding scheme in the quantum state encoding library as constraints, and combining the quantum signal transmission influence parameters of the currently virtualized communication links (including dark count parameters, quantum channel service life parameters, quantum channel model parameters, fiber vibration parameters, ambient temperature parameters, and transmission distance parameters), matching same-mode communication link samples are screened from the historical communication link database. For each retrieved same-mode communication link sample, its corresponding single-photon transmission bit error rate is extracted and statistically analyzed. Through a complete traversal of the quantum signal transmission influence parameter set and sample retrieval, a first single-photon transmission bit error rate set is statistically obtained. This first single-photon transmission bit error rate set contains the expected bit error rate data of each virtualized communication link under different quantum state encoding conditions. The first set of single-photon transmission bit error rates provides performance metrics for subsequent link performance evaluation and minimum bit error rate sorting.

[0031] By retrieving samples of the same-mode communication links and statistically analyzing the first single-photon transmission bit error rate set, the transmission performance of each virtual communication link can be accurately predicted based on historical experience data, providing a reliable decision-making basis for the optimal selection of quantum communication links.

[0032] S4. Based on the first single-photon transmission bit error rate set, perform minimum bit error rate sorting on the first virtual deployment communication link set, obtain the selected deployment communication link and send it to the user terminal for recommendation.

[0033] Specifically, after obtaining the first set of single-photon transmission bit error rates, the first set of virtual deployed communication links is subjected to performance optimization and sorting based on this set of single-photon transmission bit error rates. The first set of single-photon transmission bit error rates includes the bit error rate performance indicators corresponding to each virtual deployed communication link, reflecting the quantum signal transmission quality level of different links.

[0034] To optimize link performance, a minimum bit error rate (BER) sorting operation is performed. BER sorting is a link selection strategy that aims to minimize the BER. It analyzes and compares the BER levels of various virtual deployment communication links to select the link with the best transmission performance. Specifically, first, each virtual deployment communication link in the first set of virtual deployment communication links is mapped one-to-one with its corresponding BER value in the first set of single-photon transmission BER values, establishing a correspondence between links and performance indicators. Then, based on the single-photon transmission BER of each link, all virtual deployment communication links in the first set of virtual deployment communication links are ranked in ascending order of performance. Based on this ranking, the link scheme with the lowest BER is selected from the ranking results to determine the optimal deployment configuration, thus forming the selected deployment communication links. After BER sorting, the selected deployment communication links are sent to the user terminal for final deployment decisions.

[0035] By performing minimum bit error rate sorting based on the first single-photon transmission bit error rate set, the link configuration with the best transmission performance can be identified from multiple virtual deployment communication links. This ensures that the deployment scheme recommended to users has the lowest quantum signal transmission bit error rate and the highest communication stability, thereby achieving the goal of enhancing the security of quantum communication links.

[0036] Furthermore, it receives the start and end points of the communication link to be deployed, and matches them with the first set of virtual communication links, including:

[0037] S11. Define the communication link deployment constraint boundaries through the user terminal;

[0038] S12. Based on the communication link deployment constraint boundary, retrieve the list of quantum communication link interference sources and the list of quantum communication link interference source distribution locations from the geographic facility database;

[0039] S13. Traverse the list of quantum communication link interference sources to perform frequent deployment distance configuration and obtain a deployment distance threshold list;

[0040] S14. Using the starting point and the ending point as constraints, and based on the deployment distance threshold list and the quantum communication link interference source distribution location list, perform uniform deployment of communication links within the communication link deployment constraint boundary to obtain the first virtual deployment communication link set.

[0041] In a preferred embodiment, firstly, the user terminal defines the communication link deployment constraint boundary. This communication link deployment constraint boundary refers to the geographical area defined between the starting and ending points, restricting the spatial boundaries of the physical deployment of the quantum communication link. Based on actual engineering needs, geographical conditions, and construction costs, the user terminal delineates the communication link deployment constraint boundary on an electronic map or in a geographic information system, providing spatial constraints for subsequent link path planning.

[0042] Subsequently, based on the communication link deployment constraint boundary, a list of quantum communication link interference sources and a list of their distribution locations were retrieved from a geographic infrastructure database. The geographic infrastructure database contains information on various geographic facilities and infrastructure within the communication link deployment constraint boundary; the quantum communication link interference source list is a categorized list of various interference sources that may adversely affect quantum signal transmission; and the list of quantum communication link interference source distribution locations refers to the specific location coordinates of each interference source in geographic space. Specifically, various interference sources are searched and identified within the communication link deployment constraint boundary to form a quantum communication link interference source list. This list includes, but is not limited to, classification information of geographic elements such as ultra-high voltage power lines, main railways, classical communication channels, existing optical cables, and rivers. Simultaneously, for each type of interference source in the quantum communication link interference source list, its specific geographic spatial location coordinates are obtained within the communication link deployment constraint boundary and compiled into a list of quantum communication link interference source distribution locations.

[0043] Then, the list of interference sources in the quantum communication link is traversed to perform frequent deployment distance configuration, resulting in a deployment distance threshold list. Frequent deployment distance configuration refers to setting minimum safe distance standards between the quantum communication link and each interference source based on the characteristics of different types of interference sources. Specifically, distance configuration processing is performed for each type of interference source in the quantum communication link interference source list. For example, the parallel distance with ultra-high voltage power lines should be greater than or equal to 50 meters to prevent electromagnetic interference; the distance with main railways should be greater than or equal to 30 meters to prevent vibration interference; the distance with classical communication channels should be greater than or equal to 100 meters to prevent Raman crosstalk; the distance between the link and other existing communication optical cables laid in the same trench should be greater than or equal to 0.1 meters, i.e., using a cable splitting hole installation method; the laying depth when crossing rivers should be greater than or equal to 2 meters below the riverbed, etc. Through the above configuration process, a deployment distance threshold list is generated, which contains the minimum safe distance requirements corresponding to various types of interference sources.

[0044] Next, using the start and end points as constraints, and based on the deployment distance threshold list and the quantum communication link interference source distribution location list, a uniform deployment of communication links is performed within the communication link deployment constraint boundary to obtain the first set of virtual deployment communication links. Uniform deployment of communication links refers to generating multiple candidate links with relatively uniform spatial distribution within the communication link deployment constraint boundary while meeting safety distance requirements. Specifically, using the start and end points as the starting and ending positions of path planning, and combining various safety distance requirements specified in the deployment distance threshold list with the interference source location information identified in the quantum communication link interference source distribution location list, multiple virtual deployment communication links that avoid interference sources and meet safety distance requirements are generated within the communication link deployment constraint boundary. These links exhibit a relatively uniform spatial distribution, ensuring sufficient candidate schemes for subsequent performance analysis.

[0045] Furthermore, by traversing the list of quantum communication link interference sources, frequent deployment distance configuration is performed to obtain a deployment distance threshold list, including:

[0046] S131. Extract the first quantum communication link interference source from the list of quantum communication link interference sources;

[0047] S132. Retrieve the historical deployment distance set between the quantum communication link and the interference source of the first quantum communication link;

[0048] S133. Perform central tendency calculation on the historical deployment distance set to obtain the first deployment distance threshold, and add it to the deployment distance threshold list.

[0049] In a preferred embodiment, firstly, a first quantum communication link interference source is extracted from the list of quantum communication link interference sources. The first quantum communication link interference source refers to a specific type of interference source currently being processed during the traversal process, such as any one of the interference source types including ultra-high voltage power lines, main railways, and classical communication channels. Following a predetermined traversal order, one interference source is selected from the list of quantum communication link interference sources each time, and this first interference source is used for subsequent distance configuration processing.

[0050] Then, the historical deployment distance set between the quantum communication link and the first quantum communication link interference source is retrieved. This historical deployment distance set refers to the collection of actual deployment distance data between the quantum communication link and this type of interference source in previous quantum communication link construction projects. All deployment cases related to the first quantum communication link interference source are retrieved from the historical engineering database, and distance parameters such as safety distance and construction spacing are extracted to form the historical deployment distance set corresponding to this type of interference source.

[0051] Subsequently, central tendency calculations were performed on the historical deployment distance set to obtain a first deployment distance threshold, which was then added to the deployment distance threshold list. Central tendency calculation involves using statistical methods to analyze the data from the historical deployment distance set, calculating statistical indicators such as the mean, median, and mode to determine the typical deployment distance requirements for this type of interference source. Then, based on the central tendency calculation results and combined with engineering safety margins, the first deployment distance threshold was determined as the recommended safe distance standard for the first quantum communication link interference source, and recorded in the deployment distance threshold list, providing a distance constraint basis for subsequent link layout planning.

[0052] By repeatedly executing steps S131 to S133 above, all interference source types in the quantum communication link interference source list are traversed, and a complete deployment distance threshold list containing the corresponding distance thresholds for each type of interference source is finally obtained.

[0053] Furthermore, based on the quantum state coding library, the set of quantum signal transmission influence parameters is traversed, samples of same-mode communication links are retrieved, and the first single-photon transmission bit error rate set is statistically analyzed, including:

[0054] S31. Extract a first pair of quantum state codes from the quantum state coding library, wherein the first pair of quantum state codes includes local quantum state codes and transmitted quantum state codes;

[0055] S32. Extract the first communication link quantum signal transmission influence parameter set from the quantum signal transmission influence parameter set;

[0056] S33. Using the local quantum state encoding, the transmission quantum state encoding, and the first communication link quantum signal transmission influence parameter set as constraints, retrieve the first same-mode communication link samples and calculate the bit error rate of the first pair of quantum state encoding single-photon transmission.

[0057] S34. Until the bit error rate of the single-photon transmission encoded by the Nth pair of quantum states is obtained, where N represents the number of quantum state encoding pairs;

[0058] S35. Take the maximum value of the single-photon transmission error rate of the first pair of quantum state encoded single photons up to the Nth pair of quantum state encoded single photon transmission error rate, set it as the single-photon transmission error rate of the first communication link, and add it to the first single-photon transmission error rate set.

[0059] In a preferred embodiment, firstly, a first pair of quantum state codes is extracted from a quantum state coding library, wherein the first pair of quantum state codes includes a local quantum state code and a transmitted quantum state code. The quantum state coding library refers to a database storing various quantum state coding schemes, including different coding protocols and parameter configurations used in quantum key distribution; the first pair of quantum state codes refers to the coding combination currently being processed during the traversal; the local quantum state code refers to the coding scheme used by the transmitter to prepare the quantum state; and the transmitted quantum state code refers to the coding scheme used by the receiver to measure the quantum state. Coding pairs are then selected from the quantum state coding library in a predetermined order for subsequent bit error rate analysis.

[0060] Then, the first communication link quantum signal transmission influence parameter set is extracted from the quantum signal transmission influence parameter set. This first communication link quantum signal transmission influence parameter set refers to the transmission influence parameter data corresponding to the currently processed specific virtual deployment communication link, including key transmission condition information such as the link's dark count parameters, quantum channel service duration parameters, quantum channel model parameters, fiber vibration parameters, ambient temperature parameters, and transmission distance parameters. Subsequently, using local quantum state encoding, transmitted quantum state encoding, and the first communication link quantum signal transmission influence parameter set as constraints, samples of the first same-mode communication link are retrieved, and the bit error rate of the first pair of quantum state encoding single photons is statistically analyzed. The first same-mode communication link samples refer to historical communication link records operating under the same or similar quantum state encoding configurations (local quantum state encoding and transmitted quantum state encoding of the first pair of quantum state encodings) and transmission environmental conditions (the first communication link quantum signal transmission influence parameter set); the bit error rate of the first pair of quantum state encoding single photons refers to the expected bit error rate level of the communication link under the current encoding configuration. Specifically, samples are selected from the historical communication link database according to the following conditions: First, historical link records using the same combination of local quantum state encoding and transmission quantum state encoding are matched; second, historical samples whose transmission influence parameters (including dark count parameters, quantum channel service duration, quantum channel type, fiber vibration parameters, ambient temperature parameters, and transmission distance parameters) are similar to or within a preset error range of the quantum signal transmission influence parameter set of the first communication link are selected. Based on these constraints, samples of the first same-mode communication link are obtained. Subsequently, the single-photon transmission bit error rate data of each sample record in the first same-mode communication link samples are statistically analyzed, and the average value is used to obtain the representative bit error rate value under the current quantum state encoding configuration and transmission conditions, i.e., the single-photon transmission bit error rate of the first pair of quantum state encodings.

[0061] Repeat steps S31 to S33 until the bit error rate of the Nth quantum state-coded single-photon transmission is obtained, where N represents the total number of quantum state-coded pairs in the quantum state coding library. Traverse all quantum state-coded combinations in the quantum state coding library and calculate the single-photon transmission bit error rate under different coding configurations for the currently processed virtual deployment communication link.

[0062] Subsequently, the maximum value among the single-photon transmission bit error rates of the first pair of quantum state-coded single-photon transmissions up to the Nth pair of quantum state-coded single-photon transmission bit error rates is taken as the first single-photon transmission bit error rate of the communication link, and added to the first single-photon transmission bit error rate set. The maximum value is used as the representative bit error rate index for this communication link to ensure communication quality is maintained even under the most unfavorable coding conditions. The first single-photon transmission bit error rate set records the bit error rate performance data corresponding to each virtual deployed communication link.

[0063] By repeating the above steps, all virtual communication links in the quantum signal transmission influence parameter set are traversed, and finally the first single-photon transmission bit error rate set containing the bit error rate index of each link is obtained.

[0064] Furthermore, constrained by the local quantum state encoding, the transmitted quantum state encoding, and the set of quantum signal transmission influence parameters of the first communication link, samples of the first same-mode communication link are retrieved, and the bit error rate of the single-photon transmission of the first pair of quantum state encodings is statistically analyzed, including:

[0065] S331. Extract the quantum channel model parameters, dark count parameters, channel service duration, fiber vibration parameters, ambient temperature and transmission distance from the set of quantum signal transmission influence parameters of the first communication link.

[0066] S332. Based on the quantum channel model parameters, activate the first transmission bit error rate prediction model from the transmission bit error rate prediction model library, process the dark count parameter, the channel service duration, the optical fiber vibration parameter, the ambient temperature, and the transmission distance to obtain the first initial transmission bit error rate prediction value.

[0067] S333. Using the local quantum state encoding, the transmission quantum state encoding and the set of quantum signal transmission influence parameters as constraints, retrieve several small samples to obtain several first same-mode communication link small samples, perform box plot analysis on each, and generate several first single-photon transmission bit error rate box intervals.

[0068] S334. Calculate the confidence support of the first initial transmission bit error rate prediction value belonging to the plurality of first single-photon transmission bit error rate box intervals.

[0069] S335. When the confidence support is greater than or equal to the support threshold, the first initial transmission bit error rate prediction value is set as the first pair of quantum state encoded single photon transmission bit error rate.

[0070] S336. When the confidence support is less than the support threshold, with the local quantum state encoding, the transmission quantum state encoding and the quantum signal transmission influence parameter set as constraints, a large sample is retrieved to obtain a large sample of the first same-mode communication link, and lumped value analysis is performed to obtain the bit error rate of the first pair of quantum state encoding single photon transmission.

[0071] In a preferred embodiment, firstly, quantum channel model parameters, dark count parameters, channel service duration, fiber vibration parameters, ambient temperature, and transmission distance are extracted from the set of parameters affecting quantum signal transmission in the first communication link. The quantum channel model parameter identifies the type and specification of the optical fiber used, such as different models like single-mode fiber G.652 or G.655, and this parameter determines which prediction model to select subsequently. The dark count parameter reflects the background noise count rate of the single-photon detector when there is no photon input, usually expressed in counts per second. The channel service duration represents the cumulative usage time of the optical fiber, reflecting the impact of fiber aging on transmission performance. The fiber vibration parameter describes the disturbance level on the transmission path. The ambient temperature reflects the temperature environment conditions of the link, affecting the transmission characteristics of the optical fiber. The transmission distance represents the physical distance that the quantum signal needs to be transmitted.

[0072] Then, based on the quantum channel model parameters, the corresponding first transmission bit error rate (BER) prediction model is selected and activated from a pre-built BER prediction model library. This library contains machine learning models trained for different quantum channel models. Each model is trained using extensive historical data to learn the mapping relationship between transmission parameters and BER under a specific quantum channel model. The training process for the BER prediction model library is as follows: For each quantum channel model parameter, all operational records of that type of optical fiber are collected as training samples. Taking G.652 single-mode optical fiber as an example, firstly, historical data records containing input features such as dark count parameters, channel service duration, fiber vibration parameters, ambient temperature, and transmission distance are collected, and the corresponding actual single-photon transmission BER is extracted as the output label. Subsequently, the collected data is divided into training, validation, and test sets in a 7:2:1 ratio. A supervised learning method was employed, using input features (darkness counting parameters, channel service duration, fiber vibration parameters, ambient temperature, and transmission distance) as model input and the actual single-photon transmission bit error rate (BER) as the target output. A neural network was used to learn the nonlinear mapping relationship between the two. During training, hyperparameters were fine-tuned using a validation set, and cross-validation was employed to prevent overfitting. The generalization performance of the model was evaluated using a test set. After training, the trained BER prediction model for the G.652 fiber was stored in a BER prediction model library. For other quantum channel parameters (such as G.655 and G.657 fibers), corresponding BER prediction models were constructed using the same training process, ultimately forming a BER prediction model library containing multiple models. Each BER prediction model is specifically optimized for the transmission characteristics of a particular quantum channel parameter, enabling accurate prediction of the BER level of that fiber type under different transmission conditions.

[0073] After activating the first transmission bit error rate (BER) prediction model, the extracted dark count parameters, channel service duration, fiber vibration parameters, ambient temperature, and transmission distance are used as model inputs. Through the model's forward computation process, a first initial BER prediction value is obtained. This first initial BER prediction value is a preliminary BER estimate based on the current transmission conditions, which has the advantage of fast computation speed, but its accuracy needs to be ensured through subsequent verification.

[0074] To verify the reliability of the prediction results of the first transmission bit error rate prediction model, a multi-source small sample rapid verification strategy was adopted. First, based on the constraints of local quantum state encoding, transmission quantum state encoding, and the set of quantum signal transmission influence parameters, matching sample records were retrieved from multiple independent historical databases. Specifically, through multi-source retrieval, several independent small sample sets were obtained, forming several small samples of the first same-mode communication links. Multi-source retrieval refers to retrieving samples from multiple independent historical databases, such as local quantum communication network databases (stored construction and operation data of quantum communication networks in various provinces and cities), research institute experimental databases (stored quantum communication experiment and test data from various research institutions), equipment manufacturer test databases (stored product test and verification data from quantum communication equipment manufacturers), and third-party testing agency databases (stored quantum communication link performance evaluation data from professional testing agencies). Each database, due to differences in data sources, acquisition standards, and testing environments, provides historical experience data from different perspectives, ensuring the diversity and representativeness of the samples. Each small sample of the first same-mode communication link is an independent sample set obtained based on a specific database, containing historical link records matched under the corresponding constraints. For each small sample of the first same-mode communication link, box plot analysis is performed to calculate the box plot statistical characteristics of the bit error rate (BER) data in that small sample, including the first quartile Q1 and the third quartile Q3. Based on the box plot statistical characteristics, the normal data range is determined to be [Q1 - 1.5 × IQR, Q3 + 1.5 × IQR], and data outside this range are considered outliers. IQR is the interquartile range, calculated as IQR = Q3 - Q1, representing the span of the middle 50% of the data distribution. Through separate analysis of several small samples of the first same-mode communication links, several first single-photon transmission BER box intervals are generated. Each first single-photon transmission BER box interval corresponds to the BER distribution range of a small sample set from a database. The box intervals from different databases provide multi-dimensional verification perspectives.

[0075] Next, the first initial transmission bit error rate (BER) prediction is compared one by one with each of the first single-photon transmission BER bin intervals, and the confidence support of the first initial BER prediction is calculated. The confidence support is calculated as follows: check whether the first initial BER prediction falls within the normal range of each first single-photon transmission BER bin interval, and count the number of bin intervals supporting the first initial BER prediction. Specifically, if the first initial BER prediction falls within a certain first single-photon transmission BER bin interval, then that interval provides one vote of support for the prediction; if the first initial BER prediction exceeds the range of a certain first single-photon transmission BER bin interval, then that interval does not provide support. The confidence support is equal to the percentage of the number of bin intervals supporting the prediction divided by the total number of bin intervals. For example, if 10 first single-photon transmission BER bin intervals are generated, and the first initial BER prediction falls within the normal range of 8 of these intervals, then the confidence support is 80%.

[0076] When the calculated reliable support is greater than or equal to the preset support threshold, it indicates that the first initial transmission bit error rate prediction value has sufficient support from a sufficient number of first single-photon transmission bit error rate bin intervals, and the prediction result has good consistency with historical experience data. At this time, the first initial transmission bit error rate prediction value is directly set as the first pair of quantum state encoded single-photon transmission bit error rate, completing the bit error rate evaluation under this encoding configuration.

[0077] When the confidence support is less than the support threshold, it indicates that the initial transmission bit error rate prediction has not been supported by sufficient historical data, and the prediction result is unreliable. In this case, an alternative strategy of large-sample statistical analysis is adopted. A larger sample set is retrieved from all historical databases under the same constraints (local quantum state encoding, transmission quantum state encoding, and quantum signal transmission influence parameter set) to obtain a large sample of the first co-mode communication links. This large sample of the first co-mode communication links contains all historical link records that meet the constraints, and the sample size is typically 5-10 times that of the small sample, ensuring the stability and reliability of the statistical results. A lumped value analysis is performed on the large sample of the first co-mode communication links. The specific calculation process is as follows: First, outlier detection is performed on the bit error rate data in the large sample of the first co-mode communication links. Outliers, i.e., extreme data points that exceed the normal data distribution range, are identified using a box plot method and removed from the sample. Then, the arithmetic mean is calculated on the effective sample data after removing outliers. This is achieved by adding all effective bit error rate values ​​and dividing by the number of effective samples to obtain the bit error rate of the first pair of quantum state-coded single-photon transmission.

[0078] Furthermore, from the set of parameters affecting quantum signal transmission in the first communication link, quantum channel model parameters, dark count parameters, channel service life, fiber vibration parameters, ambient temperature, and transmission distance are extracted, including:

[0079] S3311. Extract quantum channel model parameters, dark count parameters, channel service duration, fiber optic vibration source distribution information, ambient temperature and transmission distance from the quantum signal transmission influence parameter set of the first communication link.

[0080] S3312. Based on a preset time window, retrieve M fiber vibration monitoring data that satisfy the fiber vibration source distribution information and the quantum channel model parameters.

[0081] S3313. Extract the first fiber vibration frequency and the first fiber vibration amplitude from the M fiber vibration monitoring data.

[0082] S3314. When the vibration frequency of the first optical fiber is greater than or equal to the vibration frequency threshold, or when the amplitude of the first optical fiber is greater than or equal to the amplitude threshold, the vibration frequency factor is incremented by one; otherwise, the vibration frequency factor remains unchanged. The initial value of the vibration frequency factor is 0.

[0083] S3315. Until the vibration frequency and amplitude of the Qth fiber are extracted from the M fiber vibration monitoring data;

[0084] S3316. When the vibration frequency of the Q-th fiber is greater than or equal to the vibration frequency threshold, or when the modal value of the vibration amplitude of the Q-th fiber is greater than or equal to the vibration amplitude threshold, the vibration frequency factor is incremented by one.

[0085] S3317. Calculate the ratio of the vibration frequency factor to M, and set it as the vibration parameter of the optical fiber.

[0086] In a preferred embodiment, firstly, quantum channel model parameters, dark count parameters, channel service duration, fiber optic vibration source distribution information, ambient temperature, and transmission distance are extracted from the set of parameters affecting quantum signal transmission in the first communication link. The fiber optic vibration source distribution information refers to information on various sources that may generate vibration interference distributed along the virtual communication link path, including quantifiable vibration source information such as traffic load sources, industrial activity sources, natural phenomenon sources, and human activity sources. Specifically, traffic load sources include traffic-related vibration source parameters such as highway traffic volume (e.g., an average of 8,000 vehicles per day, with heavy trucks accounting for 25%), railway train frequency (e.g., 120 train services per day, with a single train weight of 1,200 tons), and airport aircraft takeoffs and landings (e.g., an average of 180 takeoffs and landings per day, with a single aircraft weight of 150 tons). Industrial activity sources include construction site intensity (e.g., excavator operation time of 8 hours per day, vibration intensity in the 5-15Hz frequency range), heavy machinery operation time (e.g., impact drill operation frequency of 300 impacts per minute, single impact force of 2000N), and factory production equipment operation status (e.g., press operation frequency of 60 times / minute, single pressure of 500kN), and other vibration source parameters related to industrial production. Natural phenomenon sources include seismic activity frequency (e.g., the region experiences 2-3 earthquakes of magnitude 3 or above per year, with a vibration duration of 10-30 seconds), wind force level (e.g., the region experiences 15 days of gale-force winds of level 7 or above per year, with a maximum wind speed of 18m / s), and geological subsidence (e.g., the average annual subsidence rate is 2-5mm / year, and the subsidence influence radius is 500 meters), and other vibration source parameters related to the natural environment. Human activity sources include the intensity of activity in densely populated areas (e.g., a daily pedestrian flow of 50,000 people in a commercial area, with a peak population density of 2 people per square meter), the frequency of large-scale events (e.g., a stadium hosts an average of 12 large-scale events per year, with an audience of 30,000 people per event), and construction work plans (e.g., subway construction blasting occurs twice a week, with a single blast yield of 50 kg), and other vibration source parameters related to human activities.

[0087] Subsequently, based on a preset time window, M fiber optic vibration monitoring data points that satisfy the fiber optic vibration source distribution information and quantum channel model parameters are retrieved. The preset time window refers to the time range used for data retrieval, such as the past 30 days, 90 days, etc.; the M fiber optic vibration monitoring data points refer to the set of historical monitoring records acquired within this time window that match the current fiber optic vibration source distribution information and quantum channel model parameters.

[0088] Then, the first fiber vibration frequency and the mode value of the first fiber vibration amplitude are extracted from the M fiber vibration monitoring data. The first fiber vibration frequency refers to the vibration frequency value in the first fiber vibration monitoring data, expressed in Hertz (Hz); the mode value of the first fiber vibration amplitude refers to the mode statistical value of the vibration amplitude in the first monitoring data record, reflecting the most frequently occurring vibration intensity level during that period. When the first fiber vibration frequency is greater than or equal to a preset vibration frequency threshold, or the mode value of the first fiber vibration amplitude is greater than or equal to a preset vibration amplitude threshold, the vibration frequency factor is increased by 1; otherwise, the vibration frequency factor remains unchanged. The vibration frequency factor is a counter used to count the number of vibration events exceeding safety thresholds (vibration frequency threshold and vibration amplitude threshold), and its initial value is set to 0. The vibration frequency threshold and vibration amplitude threshold are pre-set critical values ​​based on the safety requirements of quantum signal transmission; vibrations exceeding these thresholds will adversely affect single-photon transmission.

[0089] Following the same processing flow, each record in the M fiber optic vibration monitoring data sets is processed sequentially until the Q-th fiber vibration frequency and the mode value of the Q-th fiber vibration amplitude are extracted from the M fiber optic vibration monitoring data sets. Here, Q represents the Q-th record in the M monitoring data sets, and when Q equals M, it indicates that all monitoring data has been processed. For the Q-th fiber optic vibration monitoring data set, if the Q-th fiber vibration frequency is greater than or equal to a vibration frequency threshold, or the mode value of the Q-th fiber vibration amplitude is greater than or equal to a vibration amplitude threshold, the vibration frequency factor is also incremented by 1. This judgment and counting process is repeated until all M fiber optic vibration monitoring data sets have been processed.

[0090] Next, the ratio of the vibration frequency factor to M is calculated, and this ratio is set as the fiber optic vibration parameter. This parameter reflects the proportion of vibration events exceeding safety thresholds (vibration frequency threshold and vibration amplitude threshold) within a preset time window, relative to the total monitored data. A higher parameter value indicates more severe vibration interference and a greater adverse impact on quantum signal transmission. By calculating the fiber optic vibration parameter, the vibration monitoring data is transformed into standardized vibration impact assessment parameters, facilitating subsequent bit error rate prediction and analysis.

[0091] Through the above steps, based on actual vibration monitoring data, the level of vibration interference that virtual communication links may face can be quantitatively assessed, providing reliable vibration parameter input for accurately predicting the bit error rate of quantum signal transmission.

[0092] Furthermore, based on the first single-photon transmission bit error rate set, the first virtual deployment communication link set is sorted by minimum bit error rate to obtain selected deployment communication links for transmission to the user terminal for recommendation, including:

[0093] S41. Based on the first single-photon transmission bit error rate set from smallest to largest, sort the first virtual deployment communication link set to obtain the first virtual deployment communication link sorting result.

[0094] S42. Calculate the ratio of 5% to the total number of sorted items, and round up to obtain the first quantity;

[0095] S43. Calculate the ratio of 10% to the total number of sorted items, and round it up to obtain the second quantity;

[0096] S44. From the sorting result of the first virtual deployment communication link, extract the first number of virtual deployment communication links in ascending order of the serial number, and add them to the guide communication link set.

[0097] S45. From the sorting result of the first virtual deployment communication link, extract the second number of virtual deployment communication links from the sequence number in descending order, and add them to the set of communication links to be adjusted.

[0098] S46. Using the guided communication link set as the guiding target, adjust the path similarity of the communication link set to be adjusted to obtain a second virtual deployment communication link set, and execute the loop.

[0099] S47. After a preset number of cycles, perform minimum bit error rate sorting, obtain the selected deployment communication link, and send it to the user terminal for execution recommendation.

[0100] In a preferred embodiment, firstly, based on the bit error rate values ​​in the first single-photon transmission bit error rate set, the first set of virtual deployed communication links is sorted in ascending order to obtain a sorting result for the first virtual deployed communication links. This sorting result refers to an ordered list arranging each virtual deployed communication link according to its corresponding single-photon transmission bit error rate from low to high, with the link with the lowest bit error rate at the top and the link with the highest bit error rate at the bottom. This sorting process allows for a direct identification of the distribution of transmission performance quality.

[0101] Then, calculate the ratio of 5% to the total number of links in the ranking, and round it up to obtain the first number. Here, the total number of links in the ranking refers to the total number of virtual communication links included in the first ranking result; the first number represents the number of links in the top 5% of the ranking results, representing a small subset of links with the best transmission performance. For example, if the total number of links in the ranking is 120, then the first number is (120 × 5%) = 6 links. Simultaneously, calculate the ratio of 10% to the total number of links in the ranking, and round it up to obtain the second number. Here, the second number represents the number of links in the bottom 10% of the ranking results, representing a subset of links with relatively poor transmission performance. For example, if the total number of links in the ranking is 120, then the second number is (120 × 10%) = 12 links.

[0102] Subsequently, from the first virtual deployment communication link sorting result, a first set of virtual deployment communication links are extracted in ascending order of their serial numbers and added to the guiding communication link set. The guiding communication link set refers to a collection of links with optimal transmission performance; these links have low bit error rates and will serve as reference targets and guiding directions for subsequent optimization adjustments. Simultaneously, from the first virtual deployment communication link sorting result, a second set of virtual deployment communication links are extracted in descending order of their serial numbers and added to the communication link set to be adjusted. The communication link set to be adjusted refers to a collection of links with relatively poor transmission performance; these links have high bit error rates and require path adjustment to improve their transmission performance.

[0103] Next, using the guiding communication link set as the guiding target, the path similarity reduction adjustment is performed on the communication link set to be adjusted to obtain a second virtual deployment communication link set, and iterative optimization is performed. Path similarity reduction adjustment refers to using a path optimization algorithm to gradually bring the link paths in the communication link set to be adjusted closer to the high-quality paths in the guiding communication link set, reducing path differences and improving transmission performance. The second virtual deployment communication link set is the new set of virtual deployment communication links generated after path adjustment. Using the second virtual deployment communication link set as new input, steps S41 to S46 of the optimization process are repeated. After a preset number of iterations, a final minimum bit error rate (BER) selection is performed to obtain the selected deployment communication links, which are then sent to the user terminal for recommendation. The preset number of iterations is determined based on the optimization effect and computational resource balance; the final minimum BER selection refers to selecting the link with the lowest BER from the last round of optimization results as the final recommended scheme, thus obtaining the selected deployment communication links. Detailed information of the selected deployment communication links (including path coordinates, expected performance parameters, etc.) is sent to the user terminal, providing the user with the optimal deployment recommendation for quantum communication link construction.

[0104] Through the above iterative optimization mechanism, the overall solution quality can be gradually improved while ensuring the diversity of links, ultimately providing users with the best deployment solution that has been fully optimized.

[0105] Example 2, as Figure 2 As shown, based on the same inventive concept as the computer communication link security enhancement method provided in Embodiment 1, this embodiment of the invention also provides a computer communication link security enhancement system, including:

[0106] The link matching module 11 is used to receive the start and end points of the communication link to be deployed and match the first set of virtual deployment communication links.

[0107] Parameter extraction module 12 is used to traverse the first virtual deployment communication link set and extract the set of parameters affecting quantum signal transmission;

[0108] Bit error rate retrieval module 13 is used to traverse the set of quantum signal transmission influence parameters based on the quantum state coding library, retrieve samples of the same mode communication link, and statistically analyze the first single photon transmission bit error rate set.

[0109] The optimal sorting module 14 is used to sort the first virtual deployment communication link set by minimum bit error rate based on the first single-photon transmission bit error rate set, and send the selected deployment communication link to the user terminal for recommendation.

[0110] Furthermore, the execution steps of the link matching module 11 include:

[0111] Through the user end, define the constraint boundaries of the communication link deployment;

[0112] Based on the communication link deployment constraint boundary, retrieve the list of quantum communication link interference sources and the list of quantum communication link interference source distribution locations from the geographic facility database;

[0113] The list of quantum communication link interference sources is traversed to perform frequent deployment distance configuration and obtain a list of deployment distance thresholds;

[0114] With the starting point and the ending point as constraints, and based on the deployment distance threshold list and the quantum communication link interference source distribution location list, a uniform layout of communication links is performed within the communication link deployment constraint boundary to obtain the first virtual deployment communication link set.

[0115] Furthermore, the execution steps of the link matching module 11 also include:

[0116] Extract the first quantum communication link interference source from the list of quantum communication link interference sources;

[0117] Retrieve the historical deployment distance set between the quantum communication link and the interference source of the first quantum communication link;

[0118] The central tendency of the historical deployment distance set is calculated to obtain the first deployment distance threshold, which is then added to the deployment distance threshold list.

[0119] Furthermore, the execution steps of the bit error rate retrieval module 13 include:

[0120] From the quantum state encoding library, a first pair of quantum state codes is extracted, wherein the first pair of quantum state codes includes local quantum state codes and transmitted quantum state codes;

[0121] Extract the first communication link quantum signal transmission influence parameter set from the quantum signal transmission influence parameter set;

[0122] Using the local quantum state encoding, the transmission quantum state encoding, and the set of quantum signal transmission influence parameters of the first communication link as constraints, the first same-mode communication link samples are retrieved, and the bit error rate of the first pair of quantum state encoding single photons is calculated.

[0123] Until the bit error rate of the single-photon transmission encoded by the Nth pair of quantum states is obtained, where N represents the number of quantum state encoding pairs;

[0124] The maximum value of the single-photon transmission error rate of the first pair of quantum state-coded single-photon transmissions up to the Nth pair of quantum state-coded single-photon transmission error rates is taken as the single-photon transmission error rate of the first communication link and added to the first single-photon transmission error rate set.

[0125] Furthermore, the execution steps of the bit error rate retrieval module 13 also include:

[0126] From the set of parameters affecting quantum signal transmission in the first communication link, extract the quantum channel model parameters, dark count parameters, channel service duration, fiber vibration parameters, ambient temperature, and transmission distance.

[0127] Based on the quantum channel model parameters, the first transmission error rate prediction model is activated from the transmission error rate prediction model library, and the dark count parameters, the channel service duration, the optical fiber vibration parameters, the ambient temperature and the transmission distance are processed to obtain the first initial transmission error rate prediction value.

[0128] Constrained by the local quantum state encoding, the transmission quantum state encoding and the set of quantum signal transmission influence parameters, several small samples are retrieved to obtain several first same-mode communication link small samples. Box plot analysis is then performed on each sample to generate several first single-photon transmission bit error rate box intervals.

[0129] The confidence support of the first initial transmission bit error rate prediction value belonging to the plurality of first single-photon transmission bit error rate box intervals is statistically analyzed.

[0130] When the confidence support is greater than or equal to the support threshold, the first initial transmission bit error rate prediction value is set as the first pair of quantum state encoded single photon transmission bit error rate.

[0131] When the confidence support is less than the support threshold, a large sample is retrieved, constrained by the local quantum state encoding, the transmitted quantum state encoding, and the set of quantum signal transmission influence parameters, to obtain a large sample of the first same-mode communication link. Then, lumped value analysis is performed to obtain the bit error rate of the first pair of quantum state encoding single-photon transmission.

[0132] Furthermore, the execution steps of the bit error rate retrieval module 13 also include:

[0133] From the set of parameters affecting quantum signal transmission in the first communication link, extract quantum channel model parameters, dark count parameters, channel service duration, fiber optic vibration source distribution information, ambient temperature, and transmission distance;

[0134] Based on a preset time window, retrieve M fiber vibration monitoring data that satisfy the fiber vibration source distribution information and the quantum channel model parameters;

[0135] From the M fiber vibration monitoring data, extract the first fiber vibration frequency and the first fiber vibration amplitude.

[0136] When the vibration frequency of the first optical fiber is greater than or equal to the vibration frequency threshold, or when the amplitude of the first optical fiber is greater than or equal to the amplitude threshold, the vibration frequency factor is incremented by one; otherwise, the vibration frequency factor remains unchanged. The initial value of the vibration frequency factor is 0.

[0137] Until the vibration frequency and amplitude of the Qth fiber are extracted from the M fiber vibration monitoring data;

[0138] When the vibration frequency of the Q-th fiber is greater than or equal to the vibration frequency threshold, or when the modulus of the vibration amplitude of the Q-th fiber is greater than or equal to the vibration amplitude threshold, the vibration frequency factor is incremented by one.

[0139] The ratio of the vibration frequency factor to M is calculated and set as the vibration parameter of the optical fiber.

[0140] Furthermore, the execution steps of the optimal sorting module 14 include:

[0141] Based on the first single-photon transmission bit error rate set from smallest to largest, the first virtual deployment communication link set is sorted to obtain the first virtual deployment communication link sorting result;

[0142] Calculate the ratio of 5% to the total number of sorted items, and round it up to obtain the first quantity;

[0143] Calculate the ratio of 10% to the total number of sorted items, and round it up to obtain the second quantity;

[0144] From the sorting result of the first virtual deployment communication link, extract the first number of virtual deployment communication links from the smallest to the largest number and add them to the guide communication link set;

[0145] From the sorting result of the first virtual deployment communication links, extract the second number of virtual deployment communication links from the largest to the smallest number and add them to the set of communication links to be adjusted;

[0146] Using the guided communication link set as the guiding target, the path similarity of the communication link set to be adjusted is reduced to obtain a second virtual deployment communication link set, and the loop is executed.

[0147] After a preset number of iterations, the minimum bit error rate is used for sorting, and the selected communication links are sent to the user terminal for execution of recommendations.

[0148] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0149] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0150] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0151] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0152] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0153] Although preferred embodiments of the invention have been described, those skilled in the art, once they have learned the basic inventive concept, can make other changes and modifications to these embodiments.

[0154] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of this invention and its equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method of security enhancement of a computer communication link, characterized by, The method comprises the following steps: receiving the start point and the end point of the communication link to be laid, and matching a first set of virtual communication links to be laid; traversing the first set of virtual communication links to be laid, and extracting a set of quantum signal transmission influence parameters; based on a quantum state encoding library, traversing the set of quantum signal transmission influence parameters, retrieving a same-mode communication link sample, and counting a first set of single-photon transmission error rates, comprising: extracting a first pair of quantum state encodings from the quantum state encoding library, wherein the first pair of quantum state encodings comprises a local quantum state encoding and a transmission quantum state encoding; extracting a first set of communication link quantum signal transmission influence parameters from the set of quantum signal transmission influence parameters; using the local quantum state encoding, the transmission quantum state encoding, and the first set of communication link quantum signal transmission influence parameters as constraints, retrieving a first same-mode communication link sample, and counting a first pair of quantum state encoding single-photon transmission error rates; until the Nth pair of quantum state encoding single-photon transmission error rates is obtained, wherein N represents the number of pairs of quantum state encodings; taking the maximum value of the first pair to the Nth pair of quantum state encoding single-photon transmission error rates as the first communication link single-photon transmission error rate, and adding it to the first set of single-photon transmission error rates; based on the first set of single-photon transmission error rates, performing minimum error rate sorting on the first set of virtual communication links to be laid, and obtaining selected communication links to be laid for sending to a user terminal for execution of recommendation, comprising: based on the first set of single-photon transmission error rates from small to large, sorting the first set of virtual communication links to be laid, and obtaining a first virtual communication link sorting result; calculating the ratio of 5% to the total number of rankings, and rounding up to obtain a first quantity; calculating the ratio of 10% to the total number of rankings, and rounding up to obtain a second quantity; from the first virtual communication link sorting result, extracting a first quantity of virtual communication links from small to large in sequence number, and adding them to a guided communication link set; from the first virtual communication link sorting result, extracting a second quantity of virtual communication links from large to small in sequence number, and adding them to a communication link to be adjusted set; using the guided communication link set as a guide target, performing path similarity reduction adjustment on the communication link to be adjusted set, obtaining a second set of virtual communication links to be laid, and performing a loop; after the loop has been performed a preset number of times, performing minimum error rate sorting to obtain selected communication links to be laid for sending to a user terminal for execution of recommendation.

2. The method of claim 1, wherein, receiving the start point and the end point of the communication link to be laid, and matching a first set of virtual communication links to be laid, comprising: defining a communication link layout constraint boundary through a user terminal; based on the communication link layout constraint boundary, retrieving a quantum communication link interference source list and a quantum communication link interference source distribution position list from a geographic facility database; traversing the quantum communication link interference source list to perform a frequent layout distance configuration, and obtaining a layout distance threshold list; based on the layout distance threshold list and the quantum communication link interference source distribution position list, performing a uniform communication link layout in the communication link layout constraint boundary with the start point and the end point as limits, and obtaining the first set of virtual communication links to be laid; The frequent deployment distance configuration is performed on the quantum communication link interference source list to obtain a deployment distance threshold list, including: A first quantum communication link interference source is extracted from the quantum communication link interference source list; A historical deployment distance set of a quantum communication link and the first quantum communication link interference source is retrieved; Central tendency calculation is performed on the historical deployment distance set to obtain a first deployment distance threshold, which is added to the deployment distance threshold list.

3. The method of claim 1, wherein, The first same-mode communication link sample is retrieved with the local quantum state encoding, the transmission quantum state encoding, and the first communication link quantum signal transmission influence parameter set as constraints, and the first pair of quantum state encoding single-photon transmission error rate is counted, including: Quantum channel model parameters, dark count parameters, channel service time, optical fiber vibration parameters, environmental temperature, and transmission distance are extracted from the first communication link quantum signal transmission influence parameter set; Based on the quantum channel model parameters, a first transmission error rate prediction model is activated from a transmission error rate prediction model library, and the dark count parameters, the channel service time, the optical fiber vibration parameters, the environmental temperature, and the transmission distance are processed to obtain a first initial transmission error rate prediction value; A plurality of small samples are retrieved with the local quantum state encoding, the transmission quantum state encoding, and the quantum signal transmission influence parameter set as constraints to obtain a plurality of first same-mode communication link small samples, and a plurality of first single-photon transmission error rate box intervals are generated by performing box plot analysis on the small samples respectively; The credible support degree of the first initial transmission error rate prediction value belonging to the plurality of first single-photon transmission error rate box intervals is counted; When the credible support degree is greater than or equal to a support threshold, the first initial transmission error rate prediction value is set as the first pair of quantum state encoding single-photon transmission error rate; When the credible support degree is less than the support threshold, a large sample is retrieved with the local quantum state encoding, the transmission quantum state encoding, and the quantum signal transmission influence parameter set as constraints to obtain a first same-mode communication link large sample, and the first pair of quantum state encoding single-photon transmission error rate is obtained by performing central value analysis on the large sample.

4. The method of claim 3, wherein, Quantum channel model parameters, dark count parameters, channel service time, optical fiber vibration parameters, environmental temperature, and transmission distance are extracted from the first communication link quantum signal transmission influence parameter set, including: Optical fiber vibration source distribution information is extracted from the first communication link quantum signal transmission influence parameter set; M optical fiber vibration monitoring data satisfying the optical fiber vibration source distribution information and the quantum channel model parameters are retrieved based on a preset time window; A first optical fiber vibration frequency and a first optical fiber vibration amplitude mode value are extracted from the M optical fiber vibration monitoring data; When the first optical fiber vibration frequency is greater than or equal to a vibration frequency threshold or the first optical fiber vibration amplitude mode value is greater than or equal to a vibration amplitude threshold, a vibration frequency factor is incremented by one, otherwise, the vibration frequency factor remains unchanged, wherein the initial value of the vibration frequency factor is equal to 0; Until a Q-th optical fiber vibration frequency and a Q-th optical fiber vibration amplitude mode value are extracted from the M optical fiber vibration monitoring data; when the first Q fiber vibration frequency is greater than or equal to a vibration frequency threshold value, or the first Q fiber vibration amplitude mode value is greater than or equal to a vibration amplitude threshold value, the vibration frequency factor is added by one; a ratio of the vibration frequency factor and M is counted, and is set as the fiber vibration parameter.

5. A security enhancement system for a computer communications link, characterized by A computer program product for implementing the method according to any one of claims 1 to 4, comprising: a link matching module, configured to receive a start point and an end point of a communication link to be laid, and match a first set of virtual laid communication links; a parameter extraction module, configured to traverse the first set of virtual laid communication links, and extract a set of quantum signal transmission influence parameters; a bit error rate retrieval module, configured to traverse the set of quantum signal transmission influence parameters based on a quantum state encoding library, retrieve a same mode communication link sample, and count a first set of single photon transmission bit error rates; an optimal sorting module, configured to perform minimum bit error rate sorting on the first set of virtual laid communication links based on the first set of single photon transmission bit error rates, and obtain a selected laid communication link to be sent to a user end for execution of recommendation.

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