CN113065142A - Multi-party security calculation method, device, server and storage medium - Google Patents
Multi-party security calculation method, device, server and storage medium Download PDFInfo
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- CN113065142A CN113065142A CN202110272360.7A CN202110272360A CN113065142A CN 113065142 A CN113065142 A CN 113065142A CN 202110272360 A CN202110272360 A CN 202110272360A CN 113065142 A CN113065142 A CN 113065142A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/546—Message passing systems or structures, e.g. queues
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/548—Queue
Abstract
The embodiment of the application provides a multi-party security computing method, a device, a server and a storage medium, wherein the method comprises the following steps: receiving and caching identification of a calculation task from a streaming data source and data of the calculation task in real time through an http interface; taking out the data of the preset processing quantity from the data queue under the condition that the quantity of the data of the calculation tasks in the data queue of the calculation tasks is greater than or equal to the preset processing quantity; respectively encrypting each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data; and sending each encrypted data to the multi-party secure computing cluster, so that the multi-party secure computing cluster obtains a computing result related to the computing task based on each encrypted data.
Description
Technical Field
The application relates to the technical field of secure computing, in particular to a multi-party secure computing method, a device, a server and a storage medium.
Background
Currently, a commonly adopted method for performing Multi-Party Secure computing (MPC) is as follows: after the full data of the calculation tasks are collected, the user performs corresponding operation to add the full data of the calculation tasks to the files in the corresponding formats, then the files in the corresponding formats are uploaded to a data source access component (for short, DS) in the MPC system by the user equipment, the data source access component encrypts the corresponding data, and the corresponding encrypted data is sent to the MPC cluster to obtain a calculation result. On one hand, the full data of the calculation task must be uploaded to the data source access component after being collected, and then, multi-party safety calculation is performed on the full data of the calculation task, so that the speed of acquiring the corresponding calculation result is low, and the method cannot be applied to a calculation scene with high real-time requirement for acquiring the calculation result in time, for example, a user equipment generates data of a task related to face recognition in real time, and a calculation scene with a face recognition result in time is required. On the other hand, the user is required to perform corresponding operations.
Disclosure of Invention
The application provides a multi-party security computing method, a device, a server and a storage medium.
According to a first aspect of embodiments of the present application, there is provided a multi-party secure computing method, including:
receiving and caching identification of a computing task from a streaming data source and data of the computing task in real time through an http interface, wherein the method comprises the following steps: receiving the identification of the computing task and the data of the preset processing quantity of the computing task each time, and sending the received data of the preset processing quantity to a data queue of the computing task;
taking out the data of the preset processing quantity from the data queue under the condition that the quantity of the data of the calculation tasks in the data queue of the calculation tasks is greater than or equal to the preset processing quantity;
respectively encrypting each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data;
and sending each encrypted data to the multi-party secure computing cluster, so that the multi-party secure computing cluster obtains a computing result related to the computing task based on each encrypted data.
According to a second aspect of embodiments of the present application, there is provided a multi-party secure computing device, comprising: (ii) a
The receiving and processing unit is configured to receive and cache identification of a computing task and data of the computing task from a streaming data source in real time through an http interface, and comprises: receiving the identification of the computing task and the data of the preset processing quantity of the computing task each time, and sending the received data of the preset processing quantity to a data queue of the computing task;
a data acquisition unit configured to take out data of a preset processing number from the data queue in a case where the number of data of the calculation task in the data queue of the calculation task is greater than or equal to the preset processing number;
the data encryption unit is configured to encrypt each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data;
and the data sending unit is configured to send each encrypted data to the multi-party secure computing cluster so as to obtain a computing result related to the computing task by the multi-party secure computing cluster based on each encrypted data.
The multi-party safety calculation method and the device provided by the embodiment of the application can receive data of calculation tasks in real time and calculate corresponding calculation results in real time when multi-party safety calculation is carried out, so that the corresponding calculation results can be obtained in time, the corresponding calculation results can be provided for users in time, and meanwhile, the users do not need to carry out corresponding operation.
Drawings
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 application.
FIG. 1 is a flow chart illustrating a multi-party secure computing method provided by an embodiment of the present application;
FIG. 2 shows a flow diagram for performing calculations using data of a calculation task in real time;
FIG. 3 illustrates a block diagram of a multi-party secure computing device provided by an embodiment of the present application;
fig. 4 shows a block diagram of a server according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a flowchart of a multi-party security computing method provided in an embodiment of the present application, where the method includes:
and step 101, receiving and caching the identification of the calculation task and the data of the calculation task from the streaming data source in real time through an http interface.
The method provided by the present application may be performed by a data source access component, DS, in an MPC system.
It should be understood that the order of occurrence of steps 101 and 102 does not constitute a limitation on the order of execution of steps 101 and 102, and steps 101 and 102 are steps executed in parallel.
In the application, each identifier of each computation task corresponds to a data queue, and for any computation task, the data queue of the computation task can be determined according to the identifier of the computation task.
For a computation task, each time data of the identification of the computation task and the preset processing amount of the computation task, which is sent by the user equipment, is received, a data queue of the computation task may be determined according to the received identification of the computation task, and then the received data is sent to the data queue of the computation task. The data queue of the computing task may perform an enqueue operation, thereby caching corresponding data in the data queue of the computing task.
In this application, for a computation task, each time data of the preset processing quantity of the computation task is newly added to a corresponding streaming data source on the user equipment, the user equipment may send the newly added data of the preset processing quantity of the computation task and the identifier of the computation task to the data source access component.
In the application, an http interface can be provided for the user equipment, the user equipment sends the identification of the calculation task and the data of the calculation task from the streaming data source to the data source access component each time, the user equipment calls the http interface, and the parameters transmitted to the http interface comprise the identification of the calculation task and the data of the preset processing quantity of the calculation task. And when the http interface is called, executing a code for sending data so as to send the identification of the computing task and the data of the preset processing amount of the computing task to the data source access component. Examples of codes for transmitting data are as follows: curl htt p:// 127.0.0.0.1: 7002/data/1234567890/tcp1/-d 1, 2, 3, 4. 127.0.0.1 is the ip address of the http server in the data source access component for receiving the identification of the computing task and the data of the preset processing amount of the computing task. 7002 is a port number of an http port for receiving the identification of the calculation task and data of a preset processing amount of the calculation task. 1234567890 is the identification of this computing task. tcp1 is the field value of the key field in the configuration file of the streaming data source. D is followed by 1, 2, 3, 4 by data of the computational task sent to the data source access component, the data being comma separated.
In some embodiments, further comprising: before receiving and caching the identification of the computing task and the data of the computing task from the streaming data source in real time through the http interface, the method further comprises the following steps: creating a configuration file for the streaming data source; sending the received data of the preset processing amount to the data queue of the computing task comprises: determining whether the number of the received data is a preset processing number in the configuration file of the data source and whether the type of the received data is the type in the configuration file of the data source; responding to the fact that the number of the received data is determined to be the preset processing number in the configuration file of the data source, and the type of the received data is determined to be the type in the configuration file of the data source; and sending the received data with the preset processing quantity to a data queue of the computing task.
The configuration file of the streaming data source may include a setname field, a key field, a shape field, a type field, a stream field, a streamtype field, and the like. The field value of the setname field is the name of the data source, and the field value of the key field is the name of the data belonging to the data source. The shape field has a field value of a preset processing amount. the type field is a type of data belonging to the data source, and field values of the type field may be int32, double, string, etc. The field value of the stream field is true, which indicates that the type of the data source is the stream type, and the field value of the streamtype field indicates the access mode of the data source, such as http.
And sending the received data with the preset processing quantity to a data queue of the computing task under the condition that whether the quantity of the received data is the preset processing quantity in the configuration file of the data source, namely the field value of the shape field of the data source, and whether the type of the received data is the type in the configuration file of the data source, namely the field value of the type field.
And 102, taking out the data with the preset processing quantity from the data queue under the condition that the quantity of the data of the calculation tasks in the data queue of the calculation tasks is greater than or equal to the preset processing quantity.
The type of data queue of a computing task in the present application may be a data queue in a data structure. Corresponding data may be pulled from the data queue of the computing task via a dequeue operation.
When the data of the preset processing quantity is taken out from the data queue of the calculation task, the data queue of the calculation task can be repeatedly dequeued until the number of dequeue operations reaches the preset processing quantity, so that the data of the earliest received preset processing quantity in all the current data in the data queue is taken out.
And 103, encrypting each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data.
In the application, after the data with the preset processing quantity is taken out from the data queue, each data in the taken-out data with the preset processing quantity is encrypted by using a preset encryption mode, so that each encrypted data is obtained.
In some embodiments, the predetermined encryption scheme is one of: secret sharing, homomorphic encryption, garbled circuits, inadvertent transmission.
In some embodiments, further comprising: monitoring the generation of a computing task, and acquiring configuration information of the computing task from equipment for managing the computing task; and determining the encryption mode indicated by the configuration information of the computing task as a preset encryption mode.
The device for managing computing tasks may be referred to as a middlebox. For a computing task, when the computing task is generated on a device for managing computing tasks, indication information indicating the generation of the computing task may be generated by the task notification interface. And generating the computing task when monitoring the generation of the indication information indicating the generation of the computing task. Configuration information for a computing task is obtained from a device for managing the computing task. And determining the encryption mode indicated by the configuration information of the computing task as the preset encryption mode.
And step 104, sending each encrypted data to the multi-party secure computing cluster.
In this application, after each encrypted data is sent to the multi-party secure computing cluster, a corresponding computing node in the multi-party secure computing cluster may perform computing based on each encrypted data to obtain a computing result related to the computing task. The multi-party secure computing cluster may send the computing results associated with the computing task directly to the user device.
In some embodiments, further comprising: receiving an encrypted calculation result related to the calculation task returned by the multi-party secure calculation cluster, decrypting the encrypted calculation result related to the calculation task to obtain a calculation result related to the calculation task, and caching the calculation result related to the calculation task.
In the application, the corresponding computing node in the multi-party secure computing cluster encrypts the computing result related to the computing task to obtain the encrypted computing result related to the computing task. And the corresponding computing nodes in the multi-party secure computing cluster send the encrypted computing results related to the computing tasks to the data source access component. And after receiving the encrypted calculation result related to the calculation task sent by the multi-party secure calculation cluster, the data source access component decrypts the encrypted calculation result related to the calculation task to obtain the calculation result related to the calculation task, and caches the calculation result related to the calculation task.
In this application, the data source access component may cache the computation result related to the computation task in a global data structure in the memory. In order to prevent the loss of the calculation result related to the calculation task when an abnormality occurs, the calculation result related to the calculation task may also be stored in a hard disk.
For a computing task, the user device may send an acquisition request including an identification of the computing task to the data source access component by invoking an interface for acquiring computing results. The data source access component may send the computing results related to the computing task to the user device in response to the get request.
Referring to FIG. 2, a flow diagram of computing in real time using data of a computing task is shown.
The data source access component (DS) comprises an HttpServer, a data Queue (Queue) of a calculation task, an encryption calculation module and a result cache module. At DS startup, HttpServer is turned on.
Each time data of the preset processing amount of the calculation task is newly added to the corresponding streaming data source on the user equipment, the user equipment can call an http interface and send the newly added data of the preset processing amount of the calculation task to the DS. Specifically, the identification of the computing task and the data of the preset processing amount of the computing task are received by the http server of the DS.
The http server receives the identification of the calculation task and the data of the preset processing number of the calculation task sent by the user equipment each time, and caches the received data in the Queue of the calculation task.
The encryption calculation module monitors a task notification interface of the middle station, and for a calculation task, when the calculation task is monitored to be generated, the middle station acquires the configuration information of the calculation task. And determining the encryption mode indicated by the configuration information of the computing task as a preset encryption mode. And under the condition that the number of the data of the computing task in the Queue of the computing task is greater than or equal to the preset processing number, taking out the data of the preset processing number from the Queue of the computing task, and encrypting each data in the taken-out data of the preset processing number respectively by using a preset encryption mode to obtain each encrypted data. And calculating by the corresponding calculation node in the MPC cluster based on each encrypted data to obtain a calculation result related to the calculation task. And the MPC cluster encrypts the calculation result related to the calculation task to obtain the encrypted calculation result related to the calculation task. The MPC cluster sends the encrypted computation results associated with the computation task to the DS. And the result caching module decrypts the encrypted calculation result related to the calculation task to obtain the calculation result related to the calculation task, and caches the calculation result related to the calculation task in a global data structure in the memory. The result caching module may further store the computation results associated with the computation task in a streaming result set in the hard disk.
Referring to fig. 3, a block diagram of a multi-party secure computing device according to an embodiment of the present application is shown. The multi-party secure computing device includes: a receiving and processing unit 301, a data acquisition unit 302, a data encryption unit 303, and a data transmission unit 304.
The receiving and processing unit 301 is configured to receive and cache, in real time, an identification of a computing task and data of said computing task from a streaming data source via an http interface, comprising: receiving the identification of the computing task and the data of the preset processing quantity of the computing task each time, and sending the received data of the preset processing quantity to a data queue of the computing task;
the data obtaining unit 302 is configured to, in a case where the number of data of the calculation task in the data queue of the calculation task is greater than or equal to a preset processing number, take out data of the preset processing number from the data queue;
the data encryption unit 303 is configured to encrypt each of the fetched data of the preset processing amount by using a preset encryption manner, so as to obtain each encrypted data;
the data sending unit 304 is configured to send each encrypted data to the multi-party secure computing cluster to obtain a computing result related to the computing task by the multi-party secure computing cluster based on each encrypted data.
In some embodiments, the multi-party secure computing device further comprises:
the encryption mode determining unit is configured to monitor the generation of the computing task and acquire configuration information of the computing task from equipment for managing the computing task; and determining the encryption mode indicated by the configuration information of the computing task as the preset encryption mode.
In some embodiments, the multi-party secure computing device further comprises:
and the calculation result caching unit is configured to receive the encrypted calculation result returned by the multi-party secure calculation cluster, decrypt the encrypted calculation result to obtain the calculation result, and cache the calculation result.
In some embodiments, the multi-party secure computing device further comprises:
the creating unit is configured to create a configuration file of the streaming data source before receiving and caching identification of a computing task and data of the computing task from the streaming data source in real time through an http interface;
the receiving and processing unit 301 is further configured to determine whether the amount of received data is a preset processing amount in the profile of the data source, and whether the type of received data is a type in the profile of the data source; responding to the fact that the quantity of the received data is determined to be a preset processing quantity in the configuration file of the streaming data source, and the type of the received data is determined to be the type in the configuration file of the streaming data source; and sending the received data with the preset processing quantity to a data queue of the computing task.
In some embodiments, the predetermined encryption scheme is one of: secret sharing, homomorphic encryption, garbled circuits, inadvertent transmission.
Fig. 4 is a block diagram of a server according to an embodiment of the present application. Referring to fig. 4, the server includes a processing component 422, which further includes one or more processors, and memory resources, represented by memory 432, for storing instructions, such as application programs, that are executable by the processing component 422. The application programs stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processing component 422 is configured to execute instructions to perform the above-described methods.
The server may also include a power component 426 configured to perform power management of the server, a wired or wireless network interface 450 configured to connect the server to a network, and an input output (I/O) interface 458. The server may operate based on an operating system stored in memory 432, such as Windows Server, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, there is also provided a storage medium comprising instructions, such as a memory comprising instructions, executable by a server to perform the multi-party secure computing method described above. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A multi-party secure computing method applied to a data source access component, the method comprising:
receiving and caching identification of a computing task from a streaming data source and data of the computing task in real time through an http interface, wherein the method comprises the following steps: receiving the identification of the computing task and the data of the preset processing quantity of the computing task each time, and sending the received data of the preset processing quantity to a data queue of the computing task;
taking out data with a preset processing quantity from the data queue under the condition that the quantity of the data of the computing task in the data queue of the computing task is greater than or equal to the preset processing quantity;
respectively encrypting each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data;
and sending each encrypted data to the multi-party secure computing cluster, so that the multi-party secure computing cluster obtains a computing result related to the computing task based on each encrypted data.
2. The method of claim 1, further comprising:
monitoring the generation of the computing task, and acquiring configuration information of the computing task from equipment for managing the computing task;
and determining the encryption mode indicated by the configuration information of the computing task as the preset encryption mode.
3. The method of claim 1, further comprising:
receiving the encrypted calculation result returned by the multi-party secure calculation cluster, decrypting the encrypted calculation result to obtain the calculation result, and caching the calculation result.
4. The method of claim 1, prior to receiving and caching identification of a computing task and data of the computing task from a streaming data source in real-time over an http interface, the method further comprising:
creating a configuration file for the streaming data source; and
sending the received data of the preset processing quantity to the data queue of the computing task comprises:
determining whether the quantity of the received data is a preset processing quantity in a configuration file of the streaming data source and whether the type of the received data is a type in the configuration file of the streaming data source;
responding to the fact that the quantity of the received data is determined to be a preset processing quantity in the configuration file of the streaming data source, and the type of the received data is determined to be the type in the configuration file of the streaming data source;
and sending the received data with the preset processing quantity to a data queue of the computing task.
5. The method according to claim 1, wherein the predetermined encryption scheme is one of: secret sharing, homomorphic encryption, garbled circuits, inadvertent transmission.
6. A multi-party secure computing device, the device comprising:
the receiving and processing unit is configured to receive and cache identification of a computing task and data of the computing task from a streaming data source in real time through an http interface, and comprises: receiving the identification of the computing task and the data of the preset processing quantity of the computing task each time, and sending the received data of the preset processing quantity to a data queue of the computing task;
the data acquisition unit is configured to take out data of a preset processing quantity from the data queue under the condition that the quantity of the data of the calculation tasks in the data queue of the calculation tasks is larger than or equal to the preset processing quantity;
the data encryption unit is configured to encrypt each data in the taken data with the preset processing quantity by using a preset encryption mode to obtain each encrypted data;
and the data sending unit is configured to send each encrypted data to the multi-party secure computing cluster so as to obtain a computing result related to the computing task by the multi-party secure computing cluster based on each encrypted data.
7. The apparatus of claim 6, further comprising:
an acquisition unit configured to acquire configuration information of the computing task from a device for managing the computing task in response to monitoring that the computing task is generated; and determining the encryption mode indicated by the configuration information of the computing task as the preset encryption mode.
8. The apparatus of claim 6, further comprising:
and the calculation result caching unit is configured to receive the encrypted calculation result returned by the multi-party secure calculation cluster, decrypt the encrypted calculation result to obtain the calculation result, and cache the calculation result.
9. A server, characterized in that the server comprises:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 5.
10. A storage medium in which instructions, when executed by a processor of a server, enable the server to perform the method of any one of claims 1 to 5.
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