Enterprise WeChat sensitive action recognition and interception system based on artificial intelligence

Abstract

The invention discloses an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence, and the system comprises a data collection module which is used for collecting user behavior data in enterprise WeChat in real time; the data processing module is used for preprocessing the collected data; the sensitive action recognition and judgment module is used for carrying out deep analysis on the processed data by adopting a deep learning model and judging whether sensitive actions exist or not; and the interception execution module is used for taking interception measures and recording an interception log when the sensitive action is judged to exist. According to the invention, real-time monitoring and intelligent analysis of enterprise WeChat user behaviors are realized, sensitive actions are accurately identified and intercepted, and user rights and interests and security of a network environment are effectively guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and specifically is an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence. Background Art

[0002] With the popularity of WeChat for Business, it plays an increasingly important role in internal corporate communications. However, the widespread use of WeChat for Business also brings challenges to information security and compliance. How to effectively identify and intercept sensitive actions in WeChat for Business, such as leaking company secrets and spreading inappropriate remarks, has become an urgent problem for companies to solve.

[0003] Traditional monitoring methods often rely on manual review, which is inefficient, error-prone, and difficult to fully cover, resulting in unsatisfactory interception results. Summary of the invention

[0004] In view of the above problems, the present invention is proposed to provide an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence to overcome the above problems or at least partially solve the above problems.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] An enterprise WeChat sensitive action recognition and interception system based on artificial intelligence, the system comprising:

[0007] Data collection module, used to collect user behavior data in enterprise WeChat in real time;

[0008] A data processing module, used for preprocessing the collected data;

[0009] The sensitive action recognition and judgment module uses a deep learning model to conduct in-depth analysis of the processed data to determine whether there are sensitive actions;

[0010] The interception execution module takes interception measures and records the interception log when it determines that there is a sensitive action.

[0011] Optionally, the system further includes a user feedback module for providing a user feedback channel and collecting user opinions and suggestions on the interception results.

[0012] Optionally, the user behavior data includes chat records, file transfer records and video call records.

[0013] Optionally, the preprocessing of the collected data includes data cleaning, deduplication and formatting.

[0014] Optionally, the sensitive action recognition and judgment module includes:

[0015] Sensitive action recognition unit, which trains deep learning models to identify sensitive actions in enterprise WeChat;

[0016] A feature extraction unit extracts key features from the processed data, wherein the key features include keywords, sensitive images, and abnormal behavior patterns;

[0017] The sensitive action judgment unit uses a trained deep learning model to comprehensively analyze the extracted key features to determine whether sensitive actions occur.

[0018] Optionally, the interception measures include preventing message sending, deleting illegal files and suspending video calls.

[0019] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0020] 1. The present invention realizes real-time monitoring and intelligent analysis of enterprise WeChat user behavior, accurately identifies and intercepts sensitive actions, and effectively protects user rights and the security of the network environment.

[0021] 2. The present invention can continuously optimize the sensitive action recognition unit and interception strategy according to user feedback, improve the accuracy of system interception, and greatly optimize the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flowchart of an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence provided in an embodiment of the present application;

[0023] Figure 2 A schematic diagram of the architecture of an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] See also Figure 1 and Figure 2 This embodiment provides an enterprise WeChat sensitive action recognition and interception system based on artificial intelligence, and the system includes:

[0026] The data collection module is used to collect user behavior data in enterprise WeChat in real time.

[0027] The user behavior data includes chat records, file transfer records, video call records, etc.

[0028] The data processing module is used to pre-process the collected data, including data cleaning, deduplication and formatting.

[0029] The sensitive action recognition and judgment module is the core part of the present invention. It uses a deep learning model to perform in-depth analysis on the processed data, identify the sensitive actions therein, and determine whether sensitive actions exist.

[0030] The sensitive action recognition and judgment module includes:

[0031] The sensitive action recognition unit trains a deep learning model based on a large amount of historical data to accurately identify sensitive actions in corporate WeChat.

[0032] The feature extraction unit extracts key features from the processed data, wherein the key features include keywords, sensitive images, abnormal behavior patterns, etc.

[0033] The sensitive action judgment unit uses a trained deep learning model to comprehensively analyze the extracted key features to determine whether sensitive actions occur.

[0034] The interception execution module will start immediately when it is determined that there is a sensitive action, take interception measures and record the interception log.

[0035] The interception measures include blocking message sending, deleting illegal files and suspending video calls.

[0036] The user feedback module is used to provide a user feedback channel and collect user opinions and suggestions on the interception results. The sensitive action recognition model and interception strategy will be continuously optimized based on user feedback to improve the accuracy of the system and user experience.

[0037] This embodiment realizes real-time monitoring and intelligent analysis of enterprise WeChat user behavior, accurately identifies and intercepts sensitive actions, and effectively protects user rights and network environment security. This embodiment can continuously optimize the sensitive action recognition unit and interception strategy based on user feedback, improve the accuracy of system interception, and greatly optimize user experience.

[0038] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. An enterprise WeChat sensitive action recognition and interception system based on artificial intelligence, characterized in that: The system comprises: Data collection module, used to collect user behavior data in enterprise WeChat in real time; A data processing module, used for preprocessing the collected data; The sensitive action recognition and judgment module uses a deep learning model to conduct in-depth analysis of the processed data to determine whether there are sensitive actions; The interception execution module takes interception measures and records the interception log when it determines that there is a sensitive action.

2. The enterprise WeChat sensitive action recognition and interception system based on artificial intelligence as claimed in claim 1 is characterized in that: The system also includes a user feedback module, which is used to provide a user feedback channel and collect user opinions and suggestions on the interception results.

3. The enterprise WeChat sensitive action recognition and interception system based on artificial intelligence as claimed in claim 1 is characterized in that: The user behavior data includes chat records, file transfer records and video call records.

4. The enterprise WeChat sensitive action recognition and interception system based on artificial intelligence as claimed in claim 1 is characterized in that: The preprocessing of the collected data includes data cleaning, deduplication and formatting.

5. The enterprise WeChat sensitive action recognition and interception system based on artificial intelligence as claimed in claim 1 is characterized in that: The sensitive action recognition and judgment module includes: Sensitive action recognition unit, which trains deep learning models to identify sensitive actions in enterprise WeChat; A feature extraction unit extracts key features from the processed data, wherein the key features include keywords, sensitive images, and abnormal behavior patterns; The sensitive action judgment unit uses a trained deep learning model to comprehensively analyze the extracted key features to determine whether sensitive actions occur.

6. The enterprise WeChat sensitive action recognition and interception system based on artificial intelligence as claimed in claim 1 is characterized in that: The interception measures include blocking message sending, deleting illegal files and suspending video calls.

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