Telecommunication operator data security sharing method based on block chain

Abstract

The invention discloses a block chain-based telecom operator data security sharing method, and particularly relates to the technical field of telecom data management and block chains, and the method comprises the following steps: data collection and preprocessing: through data collection modules distributed in each service system and network node of a telecom operator, the data collection modules are used for data collection; the method comprises the steps of data value evaluation, data value evaluation model construction, block chain storage and encryption, and distributed storage system construction by adopting a block chain technology, data encryption is carried out by adopting a mode of combining symmetric encryption and asymmetric encryption, and the data security level is greatly improved based on block chain distributed storage and non-tampering characteristics. Data are encrypted in the whole storage and transmission process, and even if part of node data are leaked, real data cannot be obtained due to no corresponding private key. The non-tampering characteristic of the block chain enables data operation records to be traceable, any unauthorized data access and modification can be found in time, and the data and user privacy security of telecom operators is powerfully guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of telecommunications data management and blockchain technology, and more specifically, to a method for securely sharing data among telecommunications operators based on blockchain. Background Art

[0002] In today's digital age, telecom operators have accumulated vast amounts of data, encompassing user communication records, consumption information, location data, and more. This data is not only valuable for telecom operators' own business optimization and precision marketing, but also provides valuable information support for other industries (such as finance, logistics, and marketing). However, telecom operators currently face numerous challenges in data sharing.

[0003] From a security perspective, telecom data contains a vast amount of private user information. Leakage of this information can cause significant losses to users and damage the reputation of telecom operators. Traditional data security measures, such as encryption and access control, are insufficient in the face of increasingly sophisticated cyberattacks and insider misconduct.

[0004] In terms of sharing efficiency, the existing data sharing model often relies on centralized third-party organizations for coordination and management, which has problems such as cumbersome processes, long approval cycles, and high trust costs, resulting in inefficient data sharing and inability to meet the needs of all parties in a timely manner.

[0005] Furthermore, the accuracy and fairness of data valuation are key issues in data sharing. Different data have different values for different demanders, but the current lack of scientific and rational valuation methods makes it difficult to achieve reasonable pricing and fair distribution of data. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for securely sharing data among telecom operators based on blockchain.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a blockchain-based telecom operator data security sharing method, comprising the following steps:

[0008] Data collection and preprocessing: Through data collection modules distributed across various business systems and network nodes of telecom operators, various data such as user call records, text messages, data usage, and business transaction records are collected in real time. The collected data is cleaned to remove duplicate, erroneous, and invalid data, and standardized to convert data in different formats into a unified standard format. The data is then classified into different categories based on its nature and purpose.

[0009] Data value assessment: Construct a data value assessment model and calculate the comprehensive value of data through the formula V = α1×A+α2×T+α3×R+α4×U+α5×C, where V is the comprehensive value of data, A is the data accuracy, measured by the error rate; T is the timeliness of data, calculated based on the difference between the update time and the current time; R is the scarcity of data, determined by the market supply and demand; U is the practicality of data, evaluated based on the degree of support for business decisions; C is the completeness of data, calculated by the missing rate, α1, α2, α3, α4, α5 are the feature weight coefficients of each dimension and According to the evaluation results, the data is divided into three categories: high value, medium value and low value;

[0010] Blockchain storage and encryption: Blockchain technology is used to build a distributed storage system. Pre-processed and value-assessed data is stored in the blockchain network. Each node saves a complete copy of the data. The data is encrypted using a combination of symmetric and asymmetric encryption. The data is encrypted with a symmetric key before uploading. The symmetric key is then encrypted with the recipient's public key and stored on the blockchain.

[0011] Smart contracts manage data sharing: Smart contracts are used to automate the data sharing process. When a requester submits a sharing request, the smart contract verifies the requester's identity, permissions, and data usage purpose. If the verification is successful, the smart contract automatically executes authorized access and transfer operations based on the data value and preset sharing rules, and records the transaction information on the blockchain. Sharing rules can be customized based on factors such as data type, value level, and usage period.

[0012] Data sharing negotiation and matching: During the data sharing process, when the demander and provider have different requirements for data sharing conditions and prices, smart contracts are used to achieve automated negotiation between the two parties. The demander proposes requirements and budget, and the provider proposes sharing conditions and prices based on the requirements and data value. The smart contract matches and negotiates according to the formula Pnew = Pold × (1 + β × ΔQ), where Pnew is the negotiated price, Pold is the pre-negotiation price, β is the price adjustment coefficient, and ΔQ is the quality or quantity adjustment factor proposed by the demander. The negotiation process can adopt multiple rounds of negotiations until consensus is reached;

[0013] Data sharing monitoring and feedback: Establish a data sharing monitoring mechanism to track data sharing in real time, including access times, usage duration, and user behavior. If abnormal behavior is detected, prompt alerts will be issued and appropriate measures will be taken, such as suspending data sharing and conducting security audits. Users can provide feedback on data quality and applicability after using the data. Telecom operators will optimize data processing and adjust data sharing strategies based on this feedback.

[0014] Multi-chain integration and cross-chain interaction: Build different blockchain sub-chains to manage different types of data, such as user data chain, business data chain, network data chain, etc., and use side chain and relay chain cross-chain technology to achieve data interaction and sharing between different chains, ensuring the secure and efficient transmission of data between different chains;

[0015] Incentive mechanism design: To encourage more participants to participate in data sharing and maintain the safe and stable operation of the blockchain network, a reasonable incentive mechanism should be designed;

[0016] Data sharing risk management: Establish a data sharing risk management system to identify, assess, and control potential risks in the data sharing process, develop risk warning indicators and emergency plans, and use data desensitization, access control, and encrypted transmission technologies to prevent data leakage risks;

[0017] Data update and maintenance: As business develops and time passes, when new data is generated or existing data needs to be updated, the node submits the update request to the blockchain network. After verification and confirmation by the consensus algorithm, the new data is added to the blockchain and the corresponding data records are updated.

[0018] In a preferred embodiment, the data acquisition module has the function of automatically identifying and filtering abnormal data, and can monitor the accuracy and completeness of data acquisition in real time. When the collected data is abnormal, the acquisition parameters are automatically adjusted or manual intervention is performed.

[0019] In a preferred embodiment, the weight coefficients α1, α2, α3, α4, and α5 in the data value assessment model can be dynamically adjusted according to different business scenarios and data requirements to ensure the accuracy and adaptability of data value assessment.

[0020] In a preferred embodiment, the blockchain storage system adopts a layered architecture design, dividing data storage and management into different layers, including data layer, network layer, consensus layer, incentive layer, etc. The layers collaborate with each other to improve the scalability and performance of the system.

[0021] In a preferred embodiment, the smart contract adopts a modular design, and different functional modules can be combined and configured as needed to achieve flexible customization and expansion of data sharing rules.

[0022] In a preferred embodiment, during the data sharing negotiation and matching process, the smart contract can also adjust the price based on factors such as the frequency and scope of data use to achieve more fair and reasonable pricing.

[0023] In a preferred embodiment, the data sharing monitoring mechanism uses a machine learning algorithm to analyze and predict data access behavior, which can detect potential abnormal behavior in advance and issue an early warning.

[0024] In a preferred embodiment, the multi-chain fusion and cross-chain interaction technology adopts standardized interfaces and protocols to ensure seamless data interaction and sharing between different blockchain sub-chains, while also having data backup and recovery functions to deal with possible data loss or damage.

[0025] In a preferred embodiment, the economic rewards and point rewards in the incentive mechanism can be exchanged for goods or services on the market, and the specific rules and parameters of the incentive mechanism can be dynamically adjusted according to the operation of the blockchain network and the feedback of participants.

[0026] In a preferred embodiment, during the data update and maintenance process, the selection and configuration of the consensus algorithm can be optimized according to the scale, performance requirements and security needs of the blockchain network to ensure the timeliness and accuracy of data updates while ensuring the consistency and stability of the blockchain network.

[0027] Technical effects and advantages of the present invention:

[0028] This invention encrypts data using a combination of symmetric and asymmetric encryption, leveraging the distributed storage and tamper-proof nature of blockchain to significantly enhance data security. Data is encrypted throughout storage and transmission. Even if data is leaked from some nodes, the actual data cannot be retrieved without the corresponding private key. Blockchain's tamper-proof nature allows for traceability of data operations, ensuring timely detection of any unauthorized data access and modification, effectively safeguarding the data security of telecom operators and user privacy.

[0029] This invention leverages smart contracts to automate the data sharing process, replacing traditional, cumbersome manual approval processes. After a request is submitted, the smart contract quickly verifies the requester's identity, permissions, and intended use. If compliance is achieved, access and data transfer are automatically authorized, significantly shortening the sharing cycle. Multi-chain integration and cross-chain interaction technologies break down data silos, enabling efficient data exchange across different business chains, meeting data demands in complex business scenarios and improving overall data sharing efficiency.

[0030] This invention provides a scientific basis for data pricing through a precise data valuation model that integrates multi-dimensional features. This model considers key factors such as accuracy and timeliness, objectively reflecting the true value of data. Under the data sharing negotiation and matching mechanism, smart contracts negotiate prices based on the needs of both parties and the value of the data, ensuring a balanced balance of interests between data providers and demanders, and achieving rational allocation of data resources and fair trade. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flowchart of a blockchain-based telecom operator data security sharing method of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0033] The present invention provides a method for securely sharing data among telecom operators based on blockchain, comprising the following steps:

[0034] Data collection and preprocessing: Through data collection modules distributed across various business systems and network nodes of telecom operators, various types of data such as user call records, text messages, data usage, business processing records, etc. are collected in real time. The collected data is cleaned to remove duplicate, erroneous and invalid data, and standardized to convert data in different formats into a unified standard format. The data is then divided into different categories based on its nature and purpose. The data collection module has the function of automatically identifying and filtering abnormal data, and can monitor the accuracy and completeness of data collection in real time. When the collected data is abnormal, the collection parameters are automatically adjusted or manual intervention is performed.

[0035] Data value assessment: Construct a data value assessment model and calculate the comprehensive value of data through the formula V = α1×A+α2×T+α3×R+α4×U+α5×C, where V is the comprehensive value of data, A is the data accuracy, measured by the error rate; T is the timeliness of data, calculated based on the difference between the update time and the current time; R is the scarcity of data, determined by the market supply and demand; U is the practicality of data, evaluated based on the degree of support for business decisions; C is the completeness of data, calculated by the missing rate, α1, α2, α3, α4, α5 are the feature weight coefficients of each dimension and According to the evaluation results, the data is divided into three categories: high value, medium value and low value; the weight coefficients α1, α2, α3, α4, and α5 in the data value evaluation model can be dynamically adjusted according to different business scenarios and data requirements to ensure the accuracy and adaptability of the data value evaluation.

[0036] Blockchain storage and encryption: Blockchain technology is used to build a distributed storage system, and pre-processed and value-assessed data is stored in the blockchain network. Each node saves a complete copy of the data, and the data is encrypted using a combination of symmetric and asymmetric encryption. The data is encrypted with a symmetric key before uploading, and then the symmetric key is encrypted with the recipient's public key before being stored on the blockchain. The blockchain storage system adopts a layered architecture design, dividing data storage and management into different levels, including data layer, network layer, consensus layer, incentive layer, etc. The various levels collaborate with each other to improve the scalability and performance of the system.

[0037] Smart contracts manage data sharing: Smart contracts are used to automatically manage the data sharing process. When the demander submits a sharing request, the smart contract verifies the demander's identity, permissions, data usage purpose, etc. If the verification is passed, the data is automatically authorized to access and transfer operations based on the data value and preset sharing rules, and the transaction information is recorded on the blockchain. The sharing rules can be customized based on factors such as data type, value level, and usage period. The smart contract adopts a modular design, and different functional modules can be combined and configured as needed to achieve flexible customization and expansion of data sharing rules.

[0038] Data sharing negotiation and matching: During the data sharing process, when the demander and provider have different requirements for data sharing conditions and prices, smart contracts are used to achieve automated negotiation between the two parties. The demander proposes requirements and budget, and the provider proposes sharing conditions and prices based on the requirements and data value. The smart contract matches and negotiates according to the formula Pnew = Pold × (1 + β × ΔQ), where Pnew is the negotiated price, Pold is the pre-negotiation price, β is the price adjustment coefficient, and ΔQ is the quality or quantity adjustment factor proposed by the demander. The negotiation process can adopt multiple rounds of negotiations until consensus is reached;

[0039] Data sharing monitoring and feedback: Establish a data sharing monitoring mechanism to track data sharing in real time, including the number of visits, usage duration, and demand-side operational behavior. If abnormal behavior is found, timely alarms will be issued and corresponding measures will be taken, such as suspending data sharing and conducting security audits. After using the data, the demander can provide feedback on data quality and applicability. Telecom operators will optimize the data and adjust data sharing strategies based on the feedback. In the data sharing negotiation and matching process, smart contracts can also adjust prices based on factors such as the frequency and scope of data use to achieve more fair and reasonable pricing.

[0040] Multi-chain fusion and cross-chain interaction: Build different blockchain sub-chains to manage different types of data, such as user data chain, business data chain, network data chain, etc., and use side chain and relay chain cross-chain technology to realize data interaction and sharing between different chains, ensuring the safe and efficient transmission of data between different chains; the multi-chain fusion and cross-chain interaction technology adopts standardized interfaces and protocols to ensure that data interaction and sharing between different blockchain sub-chains can be seamlessly connected, and at the same time has data backup and recovery functions to deal with possible data loss or damage.

[0041] Incentive mechanism design: To encourage more participants to participate in data sharing and maintain the safe and stable operation of the blockchain network, a reasonable incentive mechanism is designed; the economic rewards and point rewards in the incentive mechanism can be exchanged for goods or services on the market, and the specific rules and parameters of the incentive mechanism can be dynamically adjusted based on the operation of the blockchain network and the feedback of participants.

[0042] Data sharing risk management: Establish a data sharing risk management system to identify, evaluate and control potential risks in the data sharing process, formulate risk warning indicators and emergency plans, and adopt data desensitization, access control, and encrypted transmission technologies to prevent data leakage risks; the data sharing monitoring mechanism uses machine learning algorithms to analyze and predict data access behavior, which can detect potential abnormal behavior in advance and issue early warnings.

[0043] Data Update and Maintenance: As business evolves and time passes, when new data is generated or existing data requires updating, nodes submit update requests to the blockchain network. After verification and confirmation by the consensus algorithm, the new data is added to the blockchain and the corresponding data records are updated. During this data update and maintenance process, the selection and configuration of the consensus algorithm can be optimized based on the scale, performance requirements, and security needs of the blockchain network to ensure the timeliness and accuracy of data updates while maintaining the consistency and stability of the blockchain network.

[0044] The specific embodiments are as follows:

[0045] A large telecom operator has adopted the blockchain-based telecom operator data security sharing method of the present invention to carry out data sharing cooperation with multiple financial institutions and Internet companies;

[0046] The business deployed a large number of data collectors to collect real-time data from multiple sources, including its core business systems, network equipment, and customer service systems. Within a month, they collected over 1PB of raw data. After data cleaning, conversion, and classification, approximately 30% of redundant and erroneous data was removed. The data was converted to a standard JSON format and categorized into multiple categories, including basic user information, call logs, data usage records, and service subscription records. The pre-processed data was then evaluated using a data valuation model. Assume that for a batch of user consumption data, its accuracy A = 0.9, timeliness T = 0.8, scarcity R = 0.7, practicality U = 0.8, and integrity C = 0.9, and the weight coefficients for each dimension are α1 = 0.2, α2 = 0.2, α3 = 0.2, α4 = 0.2, and α5 = 0.2. The overall value of this batch of data is: V = 0.2 × 0.9 + 0.2 × 0.8 + 0.2 × 0.7 + 0.2 × 0.8 + 0.2 × 0.9 = 0.82. Based on the evaluation results, this batch of data is classified as high-value data. The evaluated data is stored in the blockchain network. The data is encrypted using the AES symmetric encryption algorithm, and the symmetric key is then encrypted using the RSA asymmetric encryption algorithm. During data storage, blockchain's distributed ledger technology ensures that every node maintains a complete copy of the data, and any data modifications must be verified by a consensus mechanism, ensuring data security and immutability. When a financial institution needs to access credit assessment data related to a subset of users, it submits a sharing request to the blockchain network. A smart contract verifies the financial institution's identity, permissions, and data usage purposes. Once the smart contract confirms compliance with the sharing rules, it automatically authorizes access to the data based on the data's value and the sharing price. The financial institution pays a fee and obtains access to the designated data for a specified period. Suppose the financial institution requests a 10% price reduction, i.e., ΔQ = -0.1, with a price adjustment factor of β = 0.5. If the original price is Pnew = 100 yuan, the negotiated price is: Pnew = 100 × (1 + 0.5 × (-0.1)) = 95 yuan. After negotiation, the two parties reach a new sharing agreement. During the data sharing process, the system monitors the financial institution's data access behavior in real time, recording information such as access time, data volume, and data usage. If a financial institution is found to be accessing data beyond its authorized scope, the system will immediately issue an alert, suspend its data access rights, and initiate a security investigation. After using the data, the financial institution reported that the accuracy of some data needed improvement. Based on this feedback, the operator reviewed and revised the relevant data. To meet the data management needs of different business scenarios, the operator has built three sub-chains: the user data chain, the business data chain, and the network data chain.When an internet company needs to simultaneously access user data and business data for targeted marketing, cross-chain technology enables data exchange and sharing between different chains. Internet companies can access the required data through a unified interface, improving data acquisition efficiency. To encourage more users to participate in data sharing, operators have introduced a points reward mechanism. Each time a user agrees to share data, they earn points based on the value of the data. Points can be redeemed for phone bills, data usage, gifts, and more. Nodes participating in blockchain network consensus verification are rewarded with digital currency based on their computing resources and network security maintenance efforts. During the data sharing process, operators have established a comprehensive data sharing risk management system. Regular risk assessments are conducted on data sharing activities to identify potential risks, such as data leakage and legal compliance risks. To address data leakage risks, data encryption and access control measures have been strengthened. To address legal compliance risks, a professional legal team is deployed to review data sharing agreements to ensure compliance with relevant laws and regulations. Over time, operators' user and business data is constantly updated, for example, due to changes in user plans or the addition of call logs. The system uses a consensus mechanism to add new data to the blockchain and update the corresponding data records. Within one quarter, approximately 20% of the data was updated, ensuring the real-time and accuracy of the data.

[0047] Finally, a few points should be explained: First, in the description of this application, it should be noted that, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense, and may refer to mechanical or electrical connections, internal communication between two components, or direct connection. "Up," "down," "left," and "right" are only used to indicate relative positional relationships. When the absolute positions of the objects being described change, the relative positional relationships may also change.

[0048] Secondly: The drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention. Other structures may refer to conventional designs. The same embodiment and different embodiments of the present invention may be combined with each other without conflict.

[0049] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A blockchain-based method for secure data sharing among telecom operators, characterized by: The following steps are involved: Data collection and preprocessing: Through data collection modules distributed across various business systems and network nodes of telecom operators, various data such as user call records, text messages, data usage, and business transaction records are collected in real time. The collected data is cleaned to remove duplicate, erroneous, and invalid data, and standardized to convert data in different formats into a unified standard format. The data is then classified into different categories based on its nature and purpose. Data value assessment: Construct a data value assessment model and calculate the comprehensive value of data through the formula V = α1×A+α2×T+α3×R+α4×U+α5×C, where V is the comprehensive value of data, A is the data accuracy, measured by the error rate; T is the timeliness of data, calculated based on the difference between the update time and the current time; R is the scarcity of data, determined by the market supply and demand; U is the practicality of data, evaluated based on the degree of support for business decisions; C is the completeness of data, calculated by the missing rate, α1, α2, α3, α4, α5 are the feature weight coefficients of each dimension and According to the evaluation results, the data is divided into three categories: high value, medium value and low value; Blockchain storage and encryption: Blockchain technology is used to build a distributed storage system. Pre-processed and value-assessed data is stored in the blockchain network. Each node saves a complete copy of the data. The data is encrypted using a combination of symmetric and asymmetric encryption. The data is encrypted with a symmetric key before uploading. The symmetric key is then encrypted with the recipient's public key and stored on the blockchain. Smart contracts manage data sharing: Smart contracts are used to automate the data sharing process. When a requester submits a sharing request, the smart contract verifies the requester's identity, permissions, and data usage purpose. If the verification is successful, the smart contract automatically executes authorized access and transfer operations based on the data value and preset sharing rules, and records the transaction information on the blockchain. Sharing rules can be customized based on factors such as data type, value level, and usage period. Data sharing negotiation and matching: During the data sharing process, when the demander and provider have different requirements for data sharing conditions and prices, smart contracts are used to achieve automated negotiation between the two parties. The demander proposes requirements and budget, and the provider proposes sharing conditions and prices based on the requirements and data value. The smart contract matches and negotiates according to the formula Pnew = Pold × (1 + β × ΔQ), where Pnew is the negotiated price, Pold is the pre-negotiation price, β is the price adjustment coefficient, and ΔQ is the quality or quantity adjustment factor proposed by the demander. The negotiation process can adopt multiple rounds of negotiations until consensus is reached; Data sharing monitoring and feedback: Establish a data sharing monitoring mechanism to track data sharing in real time, including access times, usage duration, and user behavior. If abnormal behavior is detected, prompt alerts will be issued and appropriate measures will be taken, such as suspending data sharing and conducting security audits. Users can provide feedback on data quality and applicability after using the data. Telecom operators will optimize data processing and adjust data sharing strategies based on this feedback. Multi-chain integration and cross-chain interaction: Build different blockchain sub-chains to manage different types of data, such as user data chain, business data chain, network data chain, etc., and use side chain and relay chain cross-chain technology to achieve data interaction and sharing between different chains, ensuring the secure and efficient transmission of data between different chains; Incentive mechanism design: To encourage more participants to participate in data sharing and maintain the safe and stable operation of the blockchain network, a reasonable incentive mechanism should be designed; Data sharing risk management: Establish a data sharing risk management system to identify, assess, and control potential risks in the data sharing process, develop risk warning indicators and emergency plans, and use data desensitization, access control, and encrypted transmission technologies to prevent data leakage risks; Data update and maintenance: As business develops and time passes, when new data is generated or existing data needs to be updated, the node submits the update request to the blockchain network. After verification and confirmation by the consensus algorithm, the new data is added to the blockchain and the corresponding data records are updated.

2. The blockchain-based telecom operator data security sharing method according to claim 1, characterized in that: The data acquisition module has the function of automatically identifying and filtering abnormal data, and can monitor the accuracy and completeness of data acquisition in real time. When the collected data is abnormal, it automatically adjusts the acquisition parameters or performs manual intervention.

3. The blockchain-based telecom operator data security sharing method according to claim 1, characterized in that: The weight coefficients α1, α2, α3, α4, and α5 in the data value assessment model can be dynamically adjusted according to different business scenarios and data requirements to ensure the accuracy and adaptability of data value assessment.

4. The method for secure data sharing among telecom operators based on blockchain according to claim 1, characterized in that: The blockchain storage system adopts a layered architecture design, dividing data storage and management into different levels, including data layer, network layer, consensus layer, incentive layer, etc. The various levels collaborate with each other to improve the scalability and performance of the system.

5. The method for secure data sharing among telecom operators based on blockchain according to claim 1, characterized in that: The smart contract adopts a modular design, and different functional modules can be combined and configured as needed to achieve flexible customization and expansion of data sharing rules.

6. The blockchain-based telecom operator data security sharing method according to claim 1, characterized in that: During the data sharing negotiation and matching process, the smart contract can also adjust the price based on factors such as the frequency and scope of data use to achieve more fair and reasonable pricing.

7. The method for secure data sharing among telecom operators based on blockchain according to claim 1, characterized in that: The data sharing monitoring mechanism uses machine learning algorithms to analyze and predict data access behavior, which can detect potential abnormal behavior in advance and issue early warnings.

8. The method for secure data sharing among telecom operators based on blockchain according to claim 1, characterized in that: The multi-chain fusion and cross-chain interaction technology adopts standardized interfaces and protocols to ensure seamless data interaction and sharing between different blockchain sub-chains, and also has data backup and recovery functions to deal with possible data loss or damage.

9. The method for secure data sharing among telecom operators based on blockchain according to claim 1, characterized in that: The economic rewards and points rewards in the incentive mechanism can be exchanged for goods or services on the market. The specific rules and parameters of the incentive mechanism can be dynamically adjusted based on the operation of the blockchain network and the feedback from participants.

10. The blockchain-based telecom operator data security sharing method according to claim 1, characterized in that: During the data update and maintenance process, the selection and configuration of the consensus algorithm can be optimized according to the scale, performance requirements and security needs of the blockchain network to ensure the timeliness and accuracy of data updates while ensuring the consistency and stability of the blockchain network.

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