Data outgoing method and device based on cloud computing and artificial intelligence, equipment and storage medium

Abstract

The invention discloses a data outgoing method, device and equipment based on cloud computing and artificial intelligence, and a storage medium, and relates to the technical field of data secure transmission, the data outgoing method based on cloud computing and artificial intelligence comprises the following steps: receiving a file outgoing request of a sending end, and obtaining a to-be-outgoing file from the sending end; the to-be-sent file is analyzed through an artificial intelligence large model, sensitive information of the to-be-sent file is recognized, and a recognition result is obtained and comprises one of the conditions that the to-be-sent file does not have sensitive information, the to-be-sent file contains part of sensitive information and all the to-be-sent files are sensitive information; and according to the identification result, determining whether to send out the file to be sent out. According to the method, the data outgoing efficiency can be improved while the sensitive information is prevented from being leaked.

Description

Technical Field

[0001] The present application relates to the technical field of secure data transmission, and in particular to a data outbound method, device, equipment and storage medium based on cloud computing and artificial intelligence. Background Art

[0002] During the R&D process of an enterprise, R&D personnel need to frequently download files such as codes and design drawings from the cloud environment to the local computer for debugging or uploading to hardware devices. In order to protect the security of the enterprise's intellectual property and sensitive data and avoid the leakage of sensitive information, a system that automatically identifies and filters sensitive files is urgently needed. At present, traditional file transfer methods often lack automatic identification and processing mechanisms for sensitive content, and cannot judge the security of outgoing files in real time and intelligently, affecting the efficiency of R&D and information security.

[0003] Therefore, how to improve the efficiency of data outbound transmission while avoiding the leakage of sensitive information is a problem that still needs to be solved.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a data outbound method, device, equipment and storage medium based on cloud computing and artificial intelligence, aiming to solve the technical problem of secure data transmission.

[0006] To achieve the above objectives, the present application proposes a data outsourcing method based on cloud computing and artificial intelligence, the method comprising: Receive a file outbound request from the sender, and obtain the file to be outbound from the sender; Analyzing the file to be sent out through a large artificial intelligence model, identifying sensitive information of the file to be sent out, and obtaining an identification result, wherein the identification result includes one of the following: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; According to the recognition result, it is determined whether to send out the file to be sent out.

[0007] In one embodiment, the step of analyzing the file to be sent out by using an artificial intelligence big model to identify sensitive information of the file to be sent out and obtaining the identification result includes: Analyze the file to be sent out through an artificial intelligence big model to obtain a file summary; The file summary is matched and identified according to preset sensitive content rules to obtain an identification result.

[0008] In one embodiment, the step of determining whether to send the file to be sent out externally according to the recognition result includes: When the identification result shows that the file to be sent out does not contain sensitive information, the file to be sent out is sent out according to the file sending request of the sending end; When the identification result shows that all the files to be sent out contain sensitive information, the files to be sent out are filtered and an alarm notification is generated to the sending end; When the identification result is that the file to be sent out contains some sensitive information, whether to send it out is determined based on the part of sensitive information in the file to be sent out.

[0009] In one embodiment, the step of determining whether to send the file externally based on part of the sensitive information of the file to be sent externally includes: Calculate the sensitive information ratio of the file to be sent out; When the proportion of sensitive information is greater than a preset value, the file to be sent out is filtered and an alarm notification is generated to the sending end; When the proportion of the sensitive information is not greater than a preset value, the sensitive information in the file to be sent out is filtered, and the file to be sent out after the sensitive information is filtered is sent out according to the file sending request of the sending end.

[0010] In one embodiment, after generating an alarm notification to the sending end, the method further includes: Receive outgoing review instructions from the sender; Determine whether to send out the to-be-sent-out file based on the outgoing review instruction.

[0011] In one embodiment, before analyzing the to-be-sent file by the artificial intelligence big model, the method further includes: Detecting the file type of the file to be sent out; According to the file type, the file to be sent out is converted into a preset format suitable for processing by the artificial intelligence large model.

[0012] In one embodiment, after determining whether to send the file to be sent out according to the recognition result, the method further includes: Recording the outgoing request and the outgoing result of the file to be outgoing; An audit log is generated according to the outgoing request and the outgoing result.

[0013] In addition, to achieve the above purpose, the present application also proposes a data outbound device based on cloud computing and artificial intelligence, and the data outbound device based on cloud computing and artificial intelligence includes: The receiving module is used to receive a file outbound sending request from the sending end and obtain the file to be outbound sent from the sending end; An analysis module, used to analyze the file to be sent out through an artificial intelligence big model, identify the sensitive information of the file to be sent out, and obtain an identification result, wherein the identification result includes one of the following: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; The sending module is used to decide whether to send the file to be sent out according to the recognition result.

[0014] In addition, to achieve the above-mentioned objectives, the present application also proposes a data outbound transmission device based on cloud computing and artificial intelligence, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the data outbound transmission method based on cloud computing and artificial intelligence as described above.

[0015] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the data outbound method based on cloud computing and artificial intelligence as described above are implemented.

[0016] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the data outbound method based on cloud computing and artificial intelligence as described above.

[0017] The present application provides a data outbound transmission method based on cloud computing and artificial intelligence, which receives a file outbound transmission request from a sending end, and obtains a file to be outbound transmitted from the sending end; analyzes the file to be outbound transmitted by a large artificial intelligence model, identifies sensitive information of the file to be outbound transmitted, and obtains an identification result, wherein the identification result includes one of the following: the file to be outbound transmitted has no sensitive information, the file to be outbound transmitted contains some sensitive information, and the file to be outbound transmitted contains all sensitive information; and decides whether to outbound the file to be outbound transmitted based on the identification result.

[0018] In summary, this application uses the summary analysis capabilities of the artificial intelligence large model to automatically review and filter files transmitted from the cloud to the local computer, thereby improving the efficiency of data transmission while avoiding the leakage of sensitive information. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 A flowchart of the first embodiment of the data outsourcing method based on cloud computing and artificial intelligence provided by the present application; Figure 2 A flowchart diagram of the second embodiment of the data outsourcing method based on cloud computing and artificial intelligence provided by the present application; Figure 3 A brief flowchart of a data outbound method based on cloud computing and artificial intelligence provided in Example 1 of the present application; Figure 4 This is a schematic diagram of the module structure of a data outbound device based on cloud computing and artificial intelligence according to an embodiment of the present application; Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the data outsourcing method based on cloud computing and artificial intelligence in the embodiment of the present application.

[0022] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0023] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0024] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0025] The main solution of the present application is to receive a file outbound sending request from a sender and obtain the file to be outbound sent from the sender; analyze the file to be outbound sent by a large artificial intelligence model, identify the sensitive information of the file to be outbound sent, and obtain an identification result, wherein the identification result includes one of the following: the file to be outbound sent has no sensitive information, the file to be outbound sent contains some sensitive information, and the file to be outbound sent contains all sensitive information; and decide whether to outbound the file to be outbound according to the identification result.

[0026] Currently, traditional file transfer methods often lack automatic identification and processing mechanisms for sensitive content, and are unable to intelligently determine the security of outgoing files in real time, affecting R&D efficiency and information security.

[0027] This application uses the summary analysis capabilities of the artificial intelligence large model to automatically review and filter files transferred from the cloud to the local computer, thereby improving the efficiency of data transmission while avoiding the leakage of sensitive information.

[0028] Based on this, the embodiment of the present application provides a data outbound method based on cloud computing and artificial intelligence, referring to Figure 1 , Figure 1 This is a flowchart of the first embodiment of the data outsourcing method based on cloud computing and artificial intelligence in this application.

[0029] In this embodiment, the data outbound method based on cloud computing and artificial intelligence includes steps S10 to S30: Step S10: receiving a file outbound sending request from the sending end, and obtaining the file to be outbound sent from the sending end; It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a data outbound device based on cloud computing and artificial intelligence, etc. The following takes a data outbound device based on cloud computing and artificial intelligence as an example to illustrate this embodiment and the following embodiments.

[0030] It is understandable that in the process of enterprise research and development, files such as codes and design drawings need to be transmitted through the cloud environment. Therefore, the file outbound request at the sender includes the file outbound request from the cloud. After receiving the outbound request, the file to be outbound can be obtained from the cloud environment.

[0031] Step S20: Analyze the file to be sent out by using the artificial intelligence big model, identify the sensitive information of the file to be sent out, and obtain an identification result, wherein the identification result includes one of: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; It should be noted that the AI ​​big model is a model trained based on large-scale data and powerful computing power, and has a high degree of natural language processing capabilities. The AI ​​big model is used to analyze outgoing files, perform summary analysis on file contents, and extract and identify potential sensitive information.

[0032] In a feasible manner, the step of analyzing the file to be sent out by using an artificial intelligence big model to identify sensitive information of the file to be sent out and obtaining the identification result includes: Analyze the file to be sent out through an artificial intelligence big model to obtain a file summary; The file summary is matched and identified according to preset sensitive content rules to obtain an identification result.

[0033] It is understandable that based on the natural language processing capabilities of the artificial intelligence big model, potential sensitive information can be identified and extracted through automatic summarization and keyword analysis of the file content. The artificial intelligence big model will perform feature extraction and semantic understanding on R&D-related keywords, code structure, design points and other information to determine whether the file content involves sensitive information. Specifically, potential sensitive information can be extracted and identified through the sensitive content rules predefined by the enterprise. The sensitive content rules predefined by the enterprise are the standards and rules set in advance by the enterprise based on its own business needs, information security policies, laws and regulations, etc. for identifying and judging whether the file content contains sensitive information. For example, sensitive content rules can be set through a preset keyword list combined with regular expressions.

[0034] In a feasible manner, before analyzing the to-be-sent file by the artificial intelligence big model, the process further includes: Detecting the file type of the file to be sent out; According to the file type, the file to be sent out is converted into a preset format suitable for processing by the artificial intelligence large model.

[0035] It is understandable that since there are many formats of files to be sent out, the files to be sent out need to be preprocessed before analysis to identify the file type (such as code files, design drawings, binary files, etc.). If the file contains an executable binary file, the system will further analyze the source file or intermediate file. For example, if the file type is detected as a text file, the text content can be extracted and generated into a format suitable for the large artificial intelligence model.

[0036] Step S30: Determine whether to send the file to be sent out based on the recognition result.

[0037] It is understandable that whether to send files externally is decided based on the results of sensitive content identification. When there is no sensitive content, it can be sent externally directly; when there is sensitive content, it is necessary to specifically analyze the sensitive content to determine the externalization strategy.

[0038] In a feasible manner, after determining whether to send the file to be sent out according to the recognition result, the method further includes: Recording the outgoing request and the outgoing result of the file to be outgoing; An audit log is generated according to the outgoing request and the outgoing result.

[0039] It is understandable that when a user uploads or updates a file in a cloud repository and initiates an outbound request, it is necessary to record the request operation and also record the corresponding file outbound results to generate an audit log for subsequent tracking and auditing.

[0040] This embodiment receives a file outbound sending request from a sending end, and obtains a file to be outbound sent from the sending end; analyzes the file to be outbound sent through a large artificial intelligence model, identifies sensitive information of the file to be outbound sent, and obtains an identification result, wherein the identification result includes one of the following: the file to be outbound sent has no sensitive information, the file to be outbound sent contains some sensitive information, and the file to be outbound sent contains all sensitive information; based on the identification result, decides whether to outbound send the file to be outbound.

[0041] In summary, this embodiment uses the summary analysis capability of the artificial intelligence big model to automatically review and filter files transmitted from the cloud to the local computer, thereby improving the efficiency of data transmission while avoiding the leakage of sensitive information.

[0042] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , step S30 also includes steps S301 to S303: Step S301: when the identification result shows that the file to be sent out does not contain sensitive information, the file to be sent out is sent out according to the file sending request of the sending end; It is understandable that when the identification result is that the file to be sent out does not contain sensitive information, the file to be sent out can be directly sent out, specifically according to the file sending request of the sender, for example, the file can be sent out to the user's local computer, thereby improving the file transfer efficiency of R&D personnel.

[0043] Step S302: When the identification result shows that all the files to be sent out contain sensitive information, the files to be sent out are filtered and an alarm notification is generated to the sending end; It is understandable that when the identification result is that all the files to be sent out contain sensitive information, the files to be sent out are filtered, and an alarm notification is generated to the sending end to remind the user that the files contain sensitive information.

[0044] Step S303: When the identification result shows that the file to be sent out contains some sensitive information, it is determined whether to send the file out based on the sensitive information of the file to be sent out.

[0045] When the identification result is that the file to be sent out contains some sensitive information, it cannot be directly determined whether to send it out, and it is necessary to determine whether to send it out based on the proportion of sensitive information.

[0046] In a feasible manner, the step of determining whether to send out the file based on part of the sensitive information of the file to be sent out includes: Calculate the sensitive information ratio of the file to be sent out; When the proportion of sensitive information is greater than a preset value, the file to be sent out is filtered and an alarm notification is generated to the sending end; When the proportion of the sensitive information is not greater than a preset value, the sensitive information in the file to be sent out is filtered, and the file to be sent out after the sensitive information is filtered is sent out according to the file sending request of the sending end.

[0047] It is understandable that when there is less sensitive content, for example, only a few words in the file are sensitive content, the sensitive content in the file can be directly filtered, and then the file to be sent out can be sent out. When there is more sensitive content, the entire file is filtered and an alarm notification is generated.

[0048] In a feasible manner, after generating an alarm notification to the sending end, the method further includes: Receive outgoing review instructions from the sender; Determine whether to send out the to-be-sent-out file based on the outgoing review instruction.

[0049] It is understandable that in some cases, files containing sensitive information also need to be sent out, so after filtering the files and generating an alarm notification, the outgoing review instruction of the sender can be received. If the review instruction allows outgoing transmission, the file can be sent.

[0050] In this embodiment, when the identification result is that the file to be sent out does not contain sensitive information, the file to be sent out is sent out according to the file sending request of the sending end; when the identification result is that the file to be sent out contains all sensitive information, the file to be sent out is filtered and an alarm notification is generated to the sending end; when the identification result is that the file to be sent out contains some sensitive information, whether to send it out is determined based on the partial sensitive information of the file to be sent out.

[0051] In summary, this embodiment determines the file sending strategy according to the proportion of sensitive content in the file, thereby improving the efficiency of data sending while avoiding the leakage of sensitive information.

[0052] For example, in order to help understand the implementation process of the data outbound method based on cloud computing and artificial intelligence obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 3 , Figure 3A brief flow chart of a data outbound method based on cloud computing and artificial intelligence is provided. Specifically: first, a file upload request is accepted. The file upload request is an outbound request initiated by a user uploading or updating a file in a cloud repository; after receiving the file, the file needs to be preprocessed, the file type is automatically detected, the file content is converted into a format suitable for large model processing, and the text, graphics and other features in the file are extracted; then the large model is used for analysis and summary, and the cloud-based artificial intelligence large model is called to perform summary analysis on the file content. The model extracts and identifies potential sensitive information according to the sensitive content rules predefined by the enterprise; according to the results of the large model analysis, it is determined whether the file contains sensitive information of the enterprise (such as design drawings, source code fragments). If the file is determined to contain sensitive content, it enters the next filtering stage. For files containing sensitive information, filtering is automatically triggered, an alarm notification is generated, and it is recorded in the audit log. The user can apply for a review; if the file does not contain sensitive information, it is allowed to be transmitted to the user's local computer, thereby improving the file transmission efficiency of R&D personnel.

[0053] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the data outbound method based on cloud computing and artificial intelligence of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0054] This application also provides a data outbound device based on cloud computing and artificial intelligence, please refer to Figure 4 , the data outbound device based on cloud computing and artificial intelligence includes: The receiving module 10 is used to receive a file outbound sending request from a sending end, and obtain the file to be outbound sent from the sending end; An analysis module 20 is used to analyze the file to be sent out through an artificial intelligence big model, identify the sensitive information of the file to be sent out, and obtain an identification result, wherein the identification result includes one of the following: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; The sending module 30 is used to decide whether to send the file to be sent out according to the recognition result.

[0055] This embodiment receives a file outbound sending request from a sending end, and obtains a file to be outbound sent from the sending end; analyzes the file to be outbound sent through a large artificial intelligence model, identifies sensitive information of the file to be outbound sent, and obtains an identification result, wherein the identification result includes one of the following: the file to be outbound sent has no sensitive information, the file to be outbound sent contains some sensitive information, and the file to be outbound sent contains all sensitive information; based on the identification result, decides whether to outbound send the file to be outbound.

[0056] In summary, this embodiment uses the summary analysis capability of the artificial intelligence big model to automatically review and filter files transmitted from the cloud to the local computer, thereby improving the efficiency of data transmission while avoiding the leakage of sensitive information.

[0057] In one embodiment, the analysis module 20 is further used to analyze the file to be sent out through an artificial intelligence big model to obtain a file summary; match and identify the file summary according to preset sensitive content rules to obtain an identification result.

[0058] In one embodiment, the outbound sending module 30 is also used to, when the recognition result is that the file to be outbound does not contain sensitive information, send the file to be outbound according to the file outbound sending request of the sending end; when the recognition result is that the file to be outbound contains all sensitive information, filter the file to be outbound and generate an alarm notification to the sending end; when the recognition result is that the file to be outbound contains some sensitive information, determine whether to send it out based on the partial sensitive information of the file to be outbound.

[0059] In one embodiment, the outbound module 30 is also used to calculate the sensitive information ratio of the file to be outbound; when the sensitive information ratio is greater than a preset value, the file to be outbound is filtered and an alarm notification is generated to the sending end; when the sensitive information ratio is not greater than the preset value, the sensitive information in the file to be outbound is filtered, and the file to be outbound after the sensitive information is filtered is outbound according to the file outbound request of the sending end.

[0060] In one embodiment, the outgoing module 30 is further configured to receive an outgoing review instruction from a sending end; and determine whether to outgoing the file to be outgoing according to the outgoing review instruction.

[0061] In one embodiment, the analysis module 20 is also used to detect the file type of the file to be sent out; according to the file type, the file to be sent out is converted into a preset format suitable for processing by the artificial intelligence large model.

[0062] In one embodiment, the outbound module 30 is further configured to record the outbound request and the outbound result of the file to be outbound; and generate an audit log according to the outbound request and the outbound result.

[0063] The data outbound device based on cloud computing and artificial intelligence provided by the present application adopts the data outbound method based on cloud computing and artificial intelligence in the above-mentioned embodiment, which can solve the technical problem of how to improve the efficiency of data outbound transmission while avoiding the leakage of sensitive information. Compared with the prior art, the beneficial effects of the data outbound device based on cloud computing and artificial intelligence provided by the present application are the same as the beneficial effects of the data outbound method based on cloud computing and artificial intelligence provided by the above-mentioned embodiment, and the other technical features of the data outbound device based on cloud computing and artificial intelligence are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0064] The present application provides a data outbound transmission device based on cloud computing and artificial intelligence, and the data outbound transmission device based on cloud computing and artificial intelligence includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data outbound transmission method based on cloud computing and artificial intelligence in the above-mentioned embodiment one.

[0065] Reference below Figure 5 , which shows a schematic diagram of the structure of a data outbound device based on cloud computing and artificial intelligence suitable for implementing the embodiments of the present application. The data outbound device based on cloud computing and artificial intelligence in the embodiments of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The data outbound device based on cloud computing and artificial intelligence shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0066] like Figure 5As shown, the data outbound device based on cloud computing and artificial intelligence may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the data outbound device based on cloud computing and artificial intelligence are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the data outbound device based on cloud computing and artificial intelligence to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a data outbound device based on cloud computing and artificial intelligence with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0067] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0068] The data outbound transmission device based on cloud computing and artificial intelligence provided by the present application adopts the data outbound transmission method based on cloud computing and artificial intelligence in the above-mentioned embodiment, which can solve the technical problem of how to improve the efficiency of data outbound transmission while avoiding the leakage of sensitive information. Compared with the prior art, the beneficial effects of the data outbound transmission device based on cloud computing and artificial intelligence provided by the present application are the same as the beneficial effects of the data outbound transmission method based on cloud computing and artificial intelligence provided by the above-mentioned embodiment, and the other technical features of the data outbound transmission device based on cloud computing and artificial intelligence are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0069] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0070] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0071] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the data outbound method based on cloud computing and artificial intelligence in the above-mentioned embodiment.

[0072] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0073] The above-mentioned computer-readable storage medium may be included in the data outbound transmission device based on cloud computing and artificial intelligence; or it may exist independently without being assembled into the data outbound transmission device based on cloud computing and artificial intelligence.

[0074] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the data outbound sending device based on cloud computing and artificial intelligence, the data outbound sending device based on cloud computing and artificial intelligence: receives a file outbound sending request from a sender, and obtains the file to be outbound from the sender; analyzes the file to be outbound through an artificial intelligence big model, identifies sensitive information of the file to be outbound, and obtains an identification result, wherein the identification result includes one of the following: the file to be outbound has no sensitive information, the file to be outbound contains some sensitive information, and the file to be outbound contains all sensitive information; and decides whether to outbound the file to be outbound based on the identification result.

[0075] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0076] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0077] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0078] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned data outbound method based on cloud computing and artificial intelligence, and can solve the technical problem of how to improve the efficiency of data outbound while avoiding the leakage of sensitive information. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the data outbound method based on cloud computing and artificial intelligence provided in the above-mentioned embodiments, and will not be repeated here.

[0079] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned data outbound method based on cloud computing and artificial intelligence.

[0080] The computer program product provided by this application can solve the technical problem of how to improve the efficiency of data outbound transmission while avoiding the leakage of sensitive information. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the data outbound transmission method based on cloud computing and artificial intelligence provided by the above-mentioned embodiment, and will not be repeated here.

[0081] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A data outbound method based on cloud computing and artificial intelligence, characterized in that: The method includes: Receive a file outbound request from the sender, and obtain the file to be outbound from the sender; Analyzing the file to be sent out through a large artificial intelligence model, identifying sensitive information of the file to be sent out, and obtaining an identification result, wherein the identification result includes one of the following: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; According to the recognition result, it is determined whether to send out the file to be sent out.

2. The method according to claim 1, characterized in that The step of analyzing the file to be sent out by using the artificial intelligence big model to identify sensitive information of the file to be sent out and obtaining the identification result comprises: Analyze the file to be sent out through an artificial intelligence big model to obtain a file summary; The file summary is matched and identified according to preset sensitive content rules to obtain an identification result.

3. The method according to claim 1, characterized in that The step of determining whether to send the file to be sent out externally according to the recognition result includes: When the identification result shows that the file to be sent out does not contain sensitive information, the file to be sent out is sent out according to the file sending request of the sending end; When the identification result shows that all the files to be sent out contain sensitive information, the files to be sent out are filtered and an alarm notification is generated to the sending end; When the identification result is that the file to be sent out contains some sensitive information, whether to send it out is determined based on the part of sensitive information in the file to be sent out.

4. The method according to claim 3, characterized in that The step of determining whether to send out the file based on part of the sensitive information of the file to be sent out comprises: Calculate the sensitive information ratio of the file to be sent out; When the proportion of sensitive information is greater than a preset value, the file to be sent out is filtered and an alarm notification is generated to the sending end; When the proportion of the sensitive information is not greater than a preset value, the sensitive information in the file to be sent out is filtered, and the file to be sent out after the sensitive information is filtered is sent out according to the file sending request of the sending end.

5. The method according to any one of claims 3 to 4, characterized in that After generating an alarm notification to the sending end, the method further includes: Receive outgoing review instructions from the sender; Determine whether to send out the to-be-sent-out file based on the outgoing review instruction.

6. The method according to claim 1, characterized in that Before analyzing the to-be-outgoing file by the artificial intelligence big model, the method further includes: Detecting the file type of the file to be sent out; According to the file type, the file to be sent out is converted into a preset format suitable for processing by the artificial intelligence large model.

7. The method according to claim 1, characterized in that After determining whether to send the file to be sent out according to the recognition result, the method further includes: Recording the outgoing request and the outgoing result of the file to be outgoing; An audit log is generated according to the outgoing request and the outgoing result.

8. A data outbound device based on cloud computing and artificial intelligence, characterized in that: The device comprises: The receiving module is used to receive a file outbound sending request from the sending end and obtain the file to be outbound sent from the sending end; An analysis module, used to analyze the file to be sent out through an artificial intelligence big model, identify the sensitive information of the file to be sent out, and obtain an identification result, wherein the identification result includes one of the following: the file to be sent out has no sensitive information, the file to be sent out contains some sensitive information, and the file to be sent out contains all sensitive information; The sending module is used to decide whether to send the file to be sent out according to the recognition result.

9. A data outbound device based on cloud computing and artificial intelligence, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the data outsourcing method based on cloud computing and artificial intelligence as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the data outbound method based on cloud computing and artificial intelligence as described in any one of claims 1 to 7 is implemented.

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