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CN-121980616-A - Data asset desensitization arrangement and marketing transaction system and method based on AI algorithm

CN121980616ACN 121980616 ACN121980616 ACN 121980616ACN-121980616-A

Abstract

The invention discloses a data asset desensitization arrangement and marketing transaction system and method based on an AI algorithm, and relates to the technical field of data processing and financial transaction. The method comprises five core processes of data asset acquisition and preprocessing, standard original data set construction, AI driving sensitive information identification and self-adaptive desensitization, sensitive information accurate identification through an AI hybrid model, dynamic matching of desensitization strategy and verification, output of a compliance desensitization data set, AI intelligent arrangement and data quality optimization, data classification, duplication removal, standardization and quality improvement, formation of high-quality transaction data asset, AI dynamic pricing and supply and demand intelligent matching, combination of multidimensional features, accurate pricing and high-efficiency supply and demand combination, compliance verification and transaction whole-course traceability, compliance verification, non-falsification and risk monitoring based on block chains and AI.

Inventors

  • CHEN YANJUN

Assignees

  • 徐州三米科技有限公司

Dates

Publication Date
20260505
Application Date
20260206

Claims (7)

  1. 1. A data asset desensitization arrangement and marketing transaction method based on an AI algorithm is characterized by comprising the following steps: step S1, data asset acquisition and preprocessing, namely acquiring multi-source heterogeneous original data and constructing a standardized original data set; Step S2, AI drives sensitive information identification and self-adaptive desensitization, based on standardized original data set, completes sensitive information identification, desensitization strategy matching and effect verification, and outputs a compliance desensitization data set; The AI intelligent arrangement and data quality optimization are performed on the basis of the compliance desensitization data set, classification, de-duplication, standardization and quality optimization are performed, and standardized high-quality transaction data assets are formed; Step S4, AI dynamic pricing and supply and demand intelligent matching is realized, based on standardized high-quality transaction-level data assets, data asset pricing and supply and demand intelligent matching is realized; And step S5, performing full-course tracking of the compliance verification and the transaction, and completing secondary compliance verification, transaction tracking and risk monitoring based on the pricing and matching results to realize the compliance transaction.
  2. 2. The method for desensitizing arrangement and marketing transaction of data assets based on AI algorithm as set forth in claim 1, wherein in step S1, said data asset acquisition and preprocessing comprises: The method comprises the steps of obtaining multi-source heterogeneous original data, and carrying out data format analysis, coarse noise filtration and data standardization treatment on the multi-source heterogeneous original data to obtain a standardized original data set; the multi-source heterogeneous original data comprises text data, image data, time sequence data and structured data; the preprocessing comprises data format analysis, coarse noise filtering and data standardization.
  3. 3. The method for data asset desensitization finishing and marketing transaction based on AI algorithm of claim 2, wherein in step S2, the AI-driven sensitive information identification and adaptive desensitization specifically comprises: constructing an AI hybrid recognition model, recognizing explicit sensitive information, implicit sensitive information, sensitive image areas and sensitive time sequence characteristics, and outputting sensitive information types and privacy classes; Constructing a desensitization strategy library, and dynamically matching an optimal desensitization strategy based on the data type, the privacy class and the transaction scene; And verifying the desensitized data from the two dimensions of compliance and availability, and outputting a compliance desensitization data set.
  4. 4. The method for desensitizing arrangement and marketing transaction of data assets based on AI algorithm as set forth in claim 3, wherein in step S3, said AI intelligent arrangement and data quality optimization comprises: Based on the compliance desensitization data set, adopting a clustering algorithm to classify data, identifying and eliminating repeated data through data fingerprints; Completing the unified format conversion of the compliance desensitization data, and identifying and eliminating redundant fields; and carrying out complementation and correction on the missing value in the qualified desensitization data, checking the logical consistency of the data fields, and forming the standardized high-quality transaction data asset.
  5. 5. The method for desensitizing arrangement and marketing transaction of data assets based on AI algorithm as set forth in claim 4, wherein in step S4, said AI dynamic pricing and supply and demand intelligent matching specifically comprises: the method comprises the steps of AI dynamic pricing, constructing a multidimensional pricing characteristic system, training a data value pricing model based on an AI model, outputting a reference price, and combining market supply and demand adjustment to form a final transaction quotation; And collecting characteristic information of both supply and demand parties, constructing supply and demand characteristic vectors, calculating the supply and demand matching degree, recommending transaction combinations and supporting personalized screening.
  6. 6. The method for desensitizing arrangement and marketing transaction of data assets based on AI algorithm as set forth in claim 5, wherein in step S5, said compliance verification and transaction entire trace specifically comprises: Verifying the sensitive information residual rate and the rule matching degree of the compliance desensitization data set corresponding to the standardized high-quality transaction-level data asset before transaction; establishing a transaction tracing system based on a blockchain technology, executing a transaction flow through intelligent contracts, and storing key information in a uplink manner; And monitoring the data access behaviors in real time, constructing a normal behavior feature library, triggering abnormal early warning and freezing access rights.
  7. 7. The data asset desensitization arrangement and marketing transaction system based on the AI algorithm is used for realizing the data asset desensitization arrangement and marketing transaction method based on the AI algorithm as set forth in any one of claims 1-6, and is characterized by comprising a data asset acquisition preprocessing module, an AI sensitive information identification desensitization module, an AI intelligent arrangement optimizing module, an AI pricing matching transaction module and a compliance tracing module; the data asset acquisition preprocessing module acquires multi-source heterogeneous original data, and a standardized original data set is constructed through format analysis, coarse noise filtering and standardized processing; the AI sensitive information identification desensitization module completes sensitive information identification, desensitization strategy matching and effect verification based on a standardized original data set, and outputs a compliance desensitization data set; the AI intelligent arrangement optimizing module is used for realizing data classification, duplication removal, standardization and quality optimization based on the compliance desensitization data set to form standardized high-quality transaction data assets; the AI pricing matching transaction module completes dynamic pricing and intelligent supply and demand matching of the data asset based on standardized high-quality transaction level data asset; And the compliance traceability module realizes compliance secondary verification, whole transaction traceability and risk monitoring after transaction based on pricing and matching results.

Description

Data asset desensitization arrangement and marketing transaction system and method based on AI algorithm Technical Field The invention belongs to the technical field of financial transactions and data processing, and particularly relates to a data asset desensitization arrangement and marketing transaction system and method based on an AI algorithm. Background The data asset desensitization arrangement and marketing transaction technology is a core technology for realizing data asset compliance circulation and value realization by carrying out privacy protection treatment and structural optimization on original data and combining market demands. However, the existing data asset desensitization arrangement and marketing transaction technology has the problems that the differences of data types, privacy classes and transaction scenes are ignored, the desensitization is excessive (the availability of data is destroyed) or insufficient (the privacy leakage risk exists) due to the adoption of fixed desensitization rules, and the intelligent identification capability of hidden sensitive information is lacking, the existing data asset desensitization arrangement and marketing transaction technology has the problems that the format difference and the quality defect of multi-source heterogeneous data cannot be adapted, the data arrangement efficiency is low, the transaction value is low due to the lack of intelligent classification, duplication removal and standardization mechanisms, and the accurate pricing, high-efficiency matching and the whole-course traceability mechanism of AI driving are not established, so that the transaction efficiency is low and the risk is high. Disclosure of Invention Aiming at the situation, in order to overcome the defects of the prior art, the invention provides a data asset desensitization arrangement and marketing transaction system and method based on an AI algorithm, aiming at the problems that the existing data asset desensitization arrangement and marketing transaction technology has the difference of neglecting data types, privacy classes and transaction scenes, the adoption of a fixed desensitization rule leads to excessive or insufficient desensitization and lacks the intelligent identification capability of hidden sensitive information, the scheme introduces an AI hybrid identification model (fusion BERT text identification network, CNN image feature extraction network and time sequence data LSTM analysis network) to realize the accurate identification and privacy class judgment of multiple types of dominant and hidden sensitive information; the method comprises designing a self-adaptive desensitization strategy engine, dynamically matching desensitization Means and intensity based on data type, privacy class and transaction scene, introducing AI desensitization effect checking model, checking in real time from compliance and availability double dimensions, ensuring desensitization data compliance and keeping core use value, aiming at the format difference and quality defect of the existing data asset desensitization arrangement and marketing transaction technology, which cannot adapt to multi-source heterogeneous data, the lack of intelligent classification, de-duplication and standardization mechanism causes low data arrangement efficiency and low transaction value, and the precise pricing, high-efficiency matching and whole-course traceability mechanism driven by AI is not established, which causes low transaction efficiency and high risk, the scheme adopts an improved K-Means clustering algorithm to realize intelligent classification and de-duplication of multi-source heterogeneous data, completes format standardization conversion by a Transformer model, combines gradient lifting tree model to realize data quality optimization, constructs AI dynamic pricing model (fusion random forest regression and LSTM time sequence prediction network), the method has the advantages of realizing accurate pricing of the data asset by integrating multidimensional features, designing an AI supply and demand matching engine (based on a Siamese network), mining potential demands of supply and demand parties, improving matching efficiency, introducing a blockchain and AI tracing mechanism, realizing full-course compliance verification and non-tamper tracing of transactions, and reducing transaction risks. The technical scheme adopted by the invention is as follows, the data asset desensitization arrangement and marketing transaction method based on the AI algorithm provided by the invention comprises the following steps: Step S1, data asset acquisition and preprocessing; step S2, AI driving sensitive information identification and self-adaptive desensitization; Step S3, AI intelligent arrangement and data quality optimization; step S4, AI dynamic pricing is intelligently matched with supply and demand; And S5, performing compliance verification and whole transaction tracing. Further, in ste