Cultural tourism digital asset management and transaction platform

Abstract

The invention, which relates to the technical field of information management, discloses a cultural tourism digital asset management and transaction platform comprising an asset acquisition module, an asset management module, a protection module, an anomaly detection module and a secure transaction module. The asset acquisition module acquires digital assets based on the text travel platform, screens the digital assets, screens out valuable digital assets, and uploads and stores the screened digital assets; and the asset management module is electrically connected with the asset acquisition module, and the asset management module performs classification management on the acquired document travel assets and inserts key indexes for traders to perform retrieval and query. According to the invention, the protection module is used for protecting the travel assets, external abnormal replication behaviors can be effectively prevented, the assets are prevented from being illegally tampered or damaged, the assets are ensured to be always in a safe storage and use environment, possible infringement behaviors are timely monitored and stopped in cooperation with the protection module, and management and transaction processing are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to a cultural tourism digital asset management and transaction platform. Background Art

[0002] Digital assets refer to assets with economic value that exist in digital form. They have various forms of expression. With the advent of the digital age, the cultural tourism industry is also constantly exploring new development models. At present, there are still some problems in the management and trading of cultural tourism resources. Its digital assets do not have a physical form like traditional physical assets, but exist in cyberspace in the form of digital codes. This makes the storage, transmission and trading of digital assets more convenient, but also brings security and management challenges. Digital assets can be easily copied and disseminated, which to a certain extent reduces their scarcity and is easily illegally copied, resulting in infringement of cultural tourism digital assets. In this regard, we propose a cultural tourism digital asset management and trading platform. Summary of the invention

[0003] In order to solve the above technical problems, a cultural tourism digital asset management and trading platform is provided. This technical solution solves the above-mentioned problem of easy illegal copying.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: a cultural tourism digital asset management and transaction platform, including: an asset acquisition module, an asset management module, a protection module, an anomaly detection module and a secure transaction module;

[0005] The asset acquisition module acquires digital assets based on the cultural tourism platform, screens the digital assets, selects valuable digital assets, and uploads and stores the screened digital assets;

[0006] The asset management module is electrically connected to the asset acquisition module. The asset management module classifies and manages the acquired cultural and tourism assets and inserts key indexes for transaction personnel to search and query;

[0007] The protection module is electrically connected to the asset management module, and the protection module protects the cultural and tourism assets to prevent abnormal copying behavior from the outside world;

[0008] The anomaly detection module detects abnormal behaviors in the current network and analyzes whether there are any abnormal situations in the current environment;

[0009] The anomaly detection module and the security transaction module are connected by telecommunication. When it is detected that there is no abnormality in the current environment, the transaction of cultural and tourism assets is processed through the security transaction module.

[0010] Preferably, the asset acquisition module is based on the cultural and tourism platform, which is the core channel for acquiring digital assets. When there are cultural and tourism resources on the cultural and tourism platform, digital assets with potential value are locked based on data collection technology and intelligent screening mechanism, uploaded, transmitted and stored through the network, and stored in cloud storage; the data collection technology and intelligent screening mechanism include screening based on content analysis, screening based on user behavior and market trends, and comprehensive evaluation and screening are used to obtain valuable digital assets for storage.

[0011] Preferably, multiple factors such as content analysis, user behavior analysis, and market trend analysis are taken into consideration to comprehensively evaluate the potential value of digital assets, assign different weights to each factor, and score the digital assets based on their performance in each factor to obtain a comprehensive evaluation score. Based on the comprehensive evaluation score, digital assets with higher potential value are screened out. The evaluation formula is:

[0012] S=α*C+β*A+γ*B

[0013] Among them, S is the score of comprehensive evaluation, C is the score obtained from content analysis, A is the score obtained from user behavior analysis, B is the score obtained from market trend analysis, α, β and γ are corresponding weight coefficients, and the value of digital assets is evaluated through calculation through formula, and digital assets with high potential value are stored.

[0014] Preferably, the asset management module includes a classification unit and an index unit. The classification unit divides different types of cultural and tourism assets according to their nature, characteristics and fields. The index unit inserts key indexes for different types of cultural and tourism assets. The key index setting takes into account the asset name, region and creation time. Traders can quickly locate the required cultural and tourism assets by entering specific asset names and region names.

[0015] Preferably, the protection module protects cultural and tourism assets to prevent abnormal copying behavior from the outside, including the calculation of similarity and the calculation of access frequency deviation rate. The two are combined to calculate the protection index to determine whether there is illegal copying behavior in the current cultural and tourism assets; the similarity SI calculation formula is: SI = (E / d) * 100, where SI is the similarity of two groups of digital assets, E is the number of common features, and d is the total number of features. Feature extraction is performed on a digital asset to be detected and a known genuine asset, including color distribution and texture features of the image. The number of common features refers to the number of features that are the same between the two, and the total number of features is the total number of features of the genuine assets. When SI exceeds the threshold, there is suspicion of abnormal copying behavior.

[0016] Preferably, the formula for calculating the access frequency deviation rate is: AF = {(hg) / g}*100, where AF is the access frequency of the digital asset, h is the current access frequency, and g is the average access frequency. The access frequency of the current digital asset is monitored. The average access frequency is the average number of times the asset is accessed over a period of time. Within a certain period of time, the current access frequency of an asset is much higher than the average access frequency, and it is judged that there may be a high access volume caused by abnormal replication and propagation.

[0017] Preferably, the protection index is calculated using the formula PI=w1*(1-SI)+w2*(1-AF), where PI is the protection index, w1 and w2 are weight coefficients. When the protection index PI is lower than a certain value, the protection module initiates protection measures, including strengthening encryption, limiting access scope, and issuing alarms to notify management personnel to prevent abnormal copying behavior from the outside.

[0018] Preferably, the anomaly detection module is based on a detection algorithm, scans the data traffic in the network, monitors the traffic data in the network, and after monitoring that there is an obvious difference in the traffic, determines that there is abnormal behavior in the current environment. The detection algorithm is:

[0019]

[0020] Among them, DF is the calculated data flow deviation rate, j is the data flow value currently monitored, and o is the average amount of flow. The data flow in the network is continuously monitored. The average data flow is the average flow value over a period of time. When the deviation rate between the current data flow and the average data flow exceeds the threshold, it is judged that there is an abnormal situation, and the network situation in the current environment is checked to ensure the security of the environment.

[0021] Preferably, after the anomaly detection module detects and determines that there is no abnormal situation in the current environment, the security transaction module processes the transaction of cultural tourism digital assets, authenticates the identities of both parties involved in the transaction, ensures that the identities of both parties to the transaction are authentic and reliable, and confirms the identity of the user based on a combination of passwords, SMS verification codes and biometrics.

[0022] Preferably, during the transaction process, the secure transaction module encrypts and protects the transaction data based on encryption technology, and after encryption, prevents the data from being stolen or tampered with by hackers, and performs transaction processing.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The present invention protects cultural and tourism assets through a protection module, which can effectively prevent abnormal copying behavior from the outside, prevent assets from being illegally tampered with or damaged, and ensure that assets are always in a safe storage and use environment. The protection module cooperates with the protection module to timely monitor and stop possible infringements. The anomaly detection module detects abnormal behaviors in the current network and can promptly discover potential security threats, such as hacker attacks and malware infections, thereby reducing the possibility of illegal copying and infringement and facilitating management and transaction processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a framework diagram of the trading platform of the present invention. DETAILED DESCRIPTION

[0026] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0027] Reference Figure 1 As shown, a cultural tourism digital asset management and transaction platform includes: an asset acquisition module, an asset management module, a protection module, an anomaly detection module and a secure transaction module;

[0028] The asset acquisition module acquires digital assets based on the cultural tourism platform, screens the digital assets, selects valuable digital assets, and uploads and stores the screened digital assets;

[0029] The asset management module is electrically connected to the asset acquisition module. The asset management module classifies and manages the acquired cultural and tourism assets and inserts key indexes for transaction personnel to search and query;

[0030] The protection module is electrically connected to the asset management module, and the protection module protects the cultural and tourism assets to prevent abnormal copying behavior from the outside world;

[0031] The anomaly detection module detects abnormal behaviors in the current network and analyzes whether there are any abnormal situations in the current environment;

[0032] The anomaly detection module and the security transaction module are connected by telecommunication. When it is detected that there is no abnormality in the current environment, the transaction of cultural and tourism assets is processed through the security transaction module.

[0033] This application can ensure that the digital assets entering the system have certain value by obtaining and screening digital assets based on the cultural and tourism platform. This can prevent low-quality or worthless assets from occupying system resources and improve the asset quality of the entire system.

[0034] The anomaly detection module detects abnormal behaviors in the current network and can timely discover potential security threats, such as hacker attacks and malware infections. The telecommunication connection with the secure transaction module allows transactions to proceed smoothly when a secure environment is detected, and once an abnormality is found, the transaction can be suspended immediately, thereby ensuring the security of the transaction and timely discovering potential security threats, such as hacker attacks and malware infections, reducing the possibility of illegal copying and infringement, and facilitating management and transaction processing;

[0035] The various modules of the entire system are interconnected and work together to form a complete ecosystem. From asset acquisition, screening, management, protection to trading, each link works closely together to improve the efficiency and standardization of the entire transaction process.

[0036] The asset acquisition module is based on the cultural and tourism platform, which is the core channel for acquiring digital assets. When there are cultural and tourism resources on the cultural and tourism platform, digital assets with potential value are locked based on data collection technology and intelligent screening mechanism, uploaded, transmitted and stored through the network, and stored in the form of cloud storage. The data collection technology and intelligent screening mechanism include screening based on content analysis, screening based on user behavior and market trends, and comprehensive evaluation and screening to obtain valuable digital assets for storage.

[0037] The screening based on content analysis in this application can start from the intrinsic value of digital assets, evaluate their cultural characteristics, evaluate their historical value, and ensure that the acquired digital assets have high intrinsic quality and value;

[0038] Screening based on user behavior can determine the value of digital assets according to market demand and user preferences. By analyzing users' browsing history, collection behavior, and evaluation data on the cultural and tourism platform, we can understand users' interests and needs for different types of digital assets. If photos of a certain scenic spot are collected and shared by a large number of users, then the digital assets of this scenic spot may have a higher market value. This method can make the acquired digital assets more in line with market demand and increase the possibility and value of their transactions. For example, taking the digital assets of online travel guides as an example, if a content guide that details a niche tourist route and is equipped with beautiful hand-drawn maps and special food recommendations is frequently browsed and downloaded by many users, and there are many users in the comment area asking for specific details and exchanging experience, then based on user behavior analysis, it can be judged that the digital asset of the guide has a higher value and will be selected by the screening mechanism;

[0039] Screening in combination with market trends can make digital assets more forward-looking and have more investment value. By analyzing hot topics, popular trends, future development directions and other factors in the cultural tourism market, it is possible to predict which digital assets may receive more attention and be sought after in the future. If cultural tourism activities in a certain area suddenly receive widespread attention, then the relevant digital assets in that area may have higher potential value. Comprehensive evaluation and screening can integrate the above three factors to comprehensively and objectively evaluate the value of digital assets and ensure that the acquired digital assets have higher comprehensive value. For example: suppose that outdoor sports tourism is becoming increasingly popular in the current market, and related digital assets such as outdoor sports route planning, safety knowledge explanations, and outdoor attractions recommendations appear on the cultural tourism platform, and from the perspective of market trends, they are in line with the general trend of the rise of outdoor sports tourism. Then, through a screening mechanism based on market trends, such digital assets will be identified as having potential value, and then screened and retained for storage and other subsequent processing.

[0040] Taking into account multiple factors such as content analysis, user behavior analysis, and market trend analysis, the potential value of digital assets is comprehensively evaluated. Different weights are assigned to each factor, and scores are given based on the performance of digital assets in each factor to obtain a comprehensive evaluation score. Based on the comprehensive evaluation score, digital assets with higher potential value are screened out. The evaluation formula is:

[0041] S=α*C+β*A+γ*B

[0042] Among them, S is the score of comprehensive evaluation, C is the score obtained from content analysis, A is the score obtained from user behavior analysis, B is the score obtained from market trend analysis, α, β and γ are corresponding weight coefficients, and the value of digital assets is evaluated through calculation through formula, and digital assets with high potential value are stored.

[0043] The asset management module includes classification units and index units. The classification unit divides different types of cultural and tourism assets according to their nature, characteristics and fields. The index unit inserts key indexes for different types of cultural and tourism assets. The key index setting takes into account the asset name, region and creation time. Traders can quickly locate the required cultural and tourism assets by entering specific asset names and region names. When users visit the cultural and tourism platform, they can obtain high-potential value digital assets that have been screened and stored. These high-quality contents can provide them with more in-depth, interesting and practical information.

[0044] The classification unit of this application is divided according to the nature, characteristics and fields of cultural and tourism assets, so that traders can quickly narrow the search scope. When traders know that they are interested in a specific type of asset, they only need to search in the corresponding category without blindly searching in the entire huge asset library. This greatly saves time and improves search efficiency. The key indexes inserted by the index unit, especially the asset name, region and creation time information, provide traders with clear retrieval clues. Just enter the name of the area to quickly find all relevant digital assets in the area, including attraction introductions, special food recommendations, and traditional handicrafts. This precise positioning method greatly improves the search speed of traders in massive assets.

[0045] The protection module protects cultural and tourism assets and prevents abnormal copying behavior from the outside world, including the calculation of similarity and access frequency deviation rate. The two are combined to calculate the protection index to determine whether there is illegal copying behavior in the current cultural and tourism assets; the similarity SI calculation formula is: SI = (E / d)*100, where SI is the similarity of two groups of digital assets, E is the number of common features, and d is the number of total features. Feature extraction is performed on a digital asset to be detected and a known genuine asset, including the color distribution and texture features of the image. The number of common features refers to the number of features that are the same between the two, and the total number of features is the total number of features of the genuine assets. When SI exceeds the threshold, there is suspicion of abnormal copying behavior; this formula essentially calculates the proportion of common features in the total features, and then multiplies this proportion by 100 to convert it into a percentage form, so as to intuitively represent the similarity between the two groups of digital assets. The higher the proportion, the more parts the two groups of digital assets have in common, and accordingly their similarity is higher; conversely, the lower the proportion, the lower the similarity.

[0046] This application sets clear calculation formulas and thresholds, providing an objective standard for judging illegal copying behavior. The SI calculation formula combines the number of common features with the total number of features and presents the similarity in the form of a percentage. This design makes the judgment process more scientific and objective, avoiding the uncertainty of subjective judgment. At the same time, by setting a threshold, when the SI exceeds a certain value, it is determined that there is suspicion of abnormal copying behavior, providing a clear basis for the decision-making of the protection module.

[0047] The formula for calculating the access frequency deviation rate is: AF = {(hg) / g}*100, where AF is the access frequency of the digital asset, h is the current access frequency, and g is the average access frequency. The access frequency of the current digital asset is monitored. The average access frequency is the average number of times the asset is accessed over a period of time. Within a certain period of time, the current access frequency of an asset is much higher than the average access frequency. It is judged that there may be a high access volume caused by abnormal replication and propagation.

[0048] By monitoring the access frequency deviation rate of digital assets, the system can understand the popularity and access demand of different assets, which helps to reasonably allocate and optimize resource management. The system can clearly know which digital assets are more popular with users and which are relatively unpopular. After understanding the popularity of different digital assets, more sufficient storage resources can be allocated to popular assets with high access frequency to ensure the integrity, security and fast retrieval performance of their data.

[0049] The protection index is calculated using the formula PI=w1*(1-SI)+w2*(1-AF), where PI is the protection index, w1 and w2 are weight coefficients. When the protection index PI is lower than a certain value, the protection module initiates protection measures, including strengthening encryption, restricting access scope, and issuing alarms to notify management personnel to prevent abnormal copying behavior from the outside.

[0050] This application can more comprehensively evaluate the security status of cultural and tourism assets. The similarity reflects the degree to which the assets may be illegally copied, and the access frequency deviation rate reflects the impact of abnormal access behavior on asset security. By incorporating these two indicators into the calculation, the protection module can evaluate assets from different angles, avoid the limitations of a single indicator, and improve the accuracy of protection. By comprehensively considering the similarity (SI) and the access frequency deviation rate (AF) to calculate the protection index (PI), the one-sidedness of evaluating the security status of cultural and tourism assets by relying solely on a single factor is avoided.

[0051] The anomaly detection module is based on the detection algorithm, which scans the data traffic in the network and monitors the traffic data in the network. After the traffic is obviously different, it is judged that there is abnormal behavior in the current environment. The detection algorithm is:

[0052]

[0053] Among them, DF is the calculated data flow deviation rate, j is the data flow value currently monitored, and o is the average amount of flow. The data flow in the network is continuously monitored. The average data flow is the average flow value over a period of time. When the deviation rate between the current data flow and the average data flow exceeds the threshold, it is judged that there is an abnormal situation. The network situation in the current environment is checked to ensure the safety of the environment. As the degree of digitalization of the cultural and tourism industry becomes higher and higher, the reliability requirements of the network environment are also increasing. This mechanism of actively monitoring and responding to abnormal flow is used.

[0054] After the anomaly detection module detects and determines that there are no abnormal situations in the current environment, the secure transaction module processes the transaction of cultural tourism digital assets and authenticates the identities of both parties involved in the transaction to ensure that the identities of both parties are authentic and reliable. The user's identity is confirmed based on a combination of passwords, SMS verification codes and biometrics. During the transaction, the secure transaction module encrypts and protects the transaction data based on encryption technology. After encryption, it prevents the data from being stolen or tampered with by hackers and processes the transaction.

[0055] This application authenticates both parties to the transaction by combining passwords, SMS verification codes and biometrics, greatly reducing the risk of identity misuse, ensuring that both parties to the transaction are real and legal entities, and reducing the occurrence of fraud. For both parties involved in cultural tourism digital asset transactions, knowing that their transaction data is encrypted and protected will make them feel safer and more at ease, which will help enhance the trust between the two parties and promote the smooth progress of transactions.

[0056] Specific examples:

[0057] Content analysis screening:

[0058] The platform detected a travel blogger sharing a picture and text travelogue about "Exploring the Secrets of a Small Ancient Village in Yunnan". The article detailed the village's unique architectural style, traditional folk customs, and beautiful natural scenery that is not well known to the public. It contains a large number of high-definition and exquisite pictures, is rich in content and has unique cultural value, and stands out in the content analysis and screening stage;

[0059] User behavior screening:

[0060] In the past month, a document called "Thailand Phuket Travel Guide" was viewed 5,000 times, collected 1,500 times, and commented on 800 times by users. Most of the comments were about the practicality and detail of the guide, and the user interaction was active. Based on the analysis of user behavior, it was determined to be a high-value digital asset.

[0061] A panoramic video of "Virtual Tour of the Louvre Museum in Paris" has an average viewing time of more than 10 minutes and more than 3,000 likes. A large number of users shared their feelings and asked for relevant information in the comment section, indicating that users are very interested. The video performs well in user behavior screening.

[0062] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention claimed.

Claims

1. A cultural tourism digital asset management and trading platform, characterized by: include: Asset acquisition module, asset management module, protection module, anomaly detection module and secure transaction module; The asset acquisition module acquires digital assets based on the cultural tourism platform, screens the digital assets, selects valuable digital assets, and uploads and stores the screened digital assets; The asset management module is electrically connected to the asset acquisition module. The asset management module classifies and manages the acquired cultural and tourism assets and inserts key indexes for transaction personnel to search and query; The protection module is electrically connected to the asset management module, and the protection module protects the cultural and tourism assets to prevent abnormal copying behavior from the outside world; The anomaly detection module detects abnormal behaviors in the current network and analyzes whether there are any abnormal situations in the current environment; The anomaly detection module and the security transaction module are connected by telecommunication. When it is detected that there is no abnormality in the current environment, the transaction of cultural and tourism assets is processed through the security transaction module.

2. A cultural tourism digital asset management and trading platform according to claim 1, characterized in that: The asset acquisition module is based on the cultural tourism platform, which is the core channel for acquiring digital assets. When there are cultural tourism resources on the cultural tourism platform, based on data collection technology and intelligent screening mechanism, digital assets with potential value are locked, uploaded, transmitted and stored through the network, and stored in the form of cloud storage; The data collection technology and intelligent screening mechanism include screening based on content analysis, user behavior and market trends. Comprehensive evaluation and screening are used to obtain valuable digital assets for storage.

3. A cultural tourism digital asset management and trading platform according to claim 2, characterized in that: Taking into account multiple factors such as content analysis, user behavior analysis, and market trend analysis, the potential value of digital assets is comprehensively evaluated. Different weights are assigned to each factor, and scores are given based on the performance of digital assets in each factor to obtain a comprehensive evaluation score. Based on the comprehensive evaluation score, digital assets with higher potential value are screened out. The evaluation formula is: S=α*C+β*A+γ*B Among them, S is the score of comprehensive evaluation, C is the score obtained from content analysis, A is the score obtained from user behavior analysis, B is the score obtained from market trend analysis, α, β and γ are corresponding weight coefficients, and the value of digital assets is evaluated through calculation through formula, and digital assets with high potential value are stored.

4. A cultural tourism digital asset management and trading platform according to claim 1, characterized in that: The asset management module includes classification units and index units. The classification unit divides different types of cultural and tourism assets according to their nature, characteristics and fields. The index unit inserts key indexes for different types of cultural and tourism assets. The key index setting takes into account the asset name, region and creation time. Traders can quickly locate the required cultural and tourism assets by entering specific asset names and region names.

5. A cultural tourism digital asset management and trading platform according to claim 1, characterized in that: The protection module protects cultural and tourism assets to prevent abnormal copying behavior from the outside, including the calculation of similarity and access frequency deviation rate. The two are combined to calculate the protection index to determine whether there is illegal copying of the current cultural and tourism assets; the similarity SI calculation formula is: SI = (E / d) * 100, where SI is the similarity of two groups of digital assets, E is the number of common features, and d is the total number of features. Feature extraction is performed on a digital asset to be detected and a known genuine asset, including the color distribution and texture features of the image. The number of common features refers to the number of features that are the same between the two, and the total number of features is the total number of features of the genuine assets. When SI exceeds the threshold, there is suspicion of abnormal copying behavior.

6. A cultural tourism digital asset management and trading platform according to claim 5, characterized in that: The formula for calculating the access frequency deviation rate is: AF = {(hg) / g}*100, where AF is the access frequency of the digital asset, h is the current access frequency, and g is the average access frequency. The access frequency of the current digital asset is monitored. The average access frequency is the average number of times the asset is accessed over a period of time. Within a certain period of time, the current access frequency of an asset is much higher than the average access frequency. It is judged that there may be a high access volume caused by abnormal replication and propagation.

7. A cultural tourism digital asset management and trading platform according to claim 6, characterized in that: The protection index is calculated using the formula PI=w1*(1-SI)+w2*(1-AF), where PI is the protection index, w1 and w2 are weight coefficients. When the protection index PI is lower than a certain value, the protection module initiates protection measures, including strengthening encryption, restricting access scope, and issuing alarms to notify management personnel to prevent abnormal copying behavior from the outside.

8. A cultural tourism digital asset management and trading platform according to claim 1, characterized in that: The anomaly detection module is based on the detection algorithm, which scans the data traffic in the network and monitors the traffic data in the network. After the traffic is obviously different, it is judged that there is abnormal behavior in the current environment. The detection algorithm is: Among them, DF is the calculated data flow deviation rate, j is the data flow value currently monitored, and o is the average amount of flow. The data flow in the network is continuously monitored. The average data flow is the average flow value over a period of time. When the deviation rate between the current data flow and the average data flow exceeds the threshold, it is judged that there is an abnormal situation, and the network situation in the current environment is checked to ensure the security of the environment.

9. A cultural tourism digital asset management and trading platform according to claim 1, characterized in that: After the anomaly detection module detects and determines that there are no abnormal situations in the current environment, the secure transaction module processes the transaction of cultural tourism digital assets and authenticates the identities of both parties involved in the transaction to ensure that the identities of both parties are authentic and reliable. The user's identity is confirmed based on a combination of passwords, SMS verification codes and biometrics.

10. A cultural tourism digital asset management and trading platform according to claim 9, characterized in that: During the transaction process, the secure transaction module encrypts and protects the transaction data based on encryption technology. After encryption, it prevents hackers from stealing or tampering with the transaction.

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