CN112559939A - Network case collaborative search platform, collaborative search method and device - Google Patents
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Abstract
The invention discloses a network case collaborative search platform, a collaborative search method and a device, wherein the method comprises the following steps: acquiring a case to be collaborated, auditing the case to be collaborated, and acquiring and storing case data of the case to be collaborated if the auditing is passed; analyzing the case data to obtain the area of the case and the information of the business staff responsible for the case; acquiring case data, splitting a case into a plurality of subtasks according to the case data, and distributing the subtasks to a manager; and acquiring a subtask processing result fed back by the operator, and generating case collaborative data. The embodiment of the invention can enable a network company to selectively carry out the cooperative investigation on the processable case, and can split the case into a plurality of subtasks, thereby improving the processing efficiency, shortening the case detection time and improving the case detection efficiency by carrying out the cooperative investigation on the case through the network company.
Description
Technical Field
The invention relates to the technical field of network security, in particular to a network case collaborative search platform, a collaborative search method and a device.
Background
With the development of technology, networks have become an indispensable part of people's lives. With the popularization of networks, cyber crimes also gradually appear in the visual field of people. The cyber crime refers to a general term for an agent to attack its system or information by means of a network, destroy or utilize the network to perform other crimes, using a computer technology. Including crimes that an agent employs its programming, encryption, decoding techniques or tools to implement over a network, and crimes that an agent employs software instructions to implement over a network.
In the prior art, because the amount of network data is huge, a great amount of time and energy are needed to be spent on processing the network data by individual case detection personnel, the case detection time is long, and the case detection efficiency is low.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the above deficiencies of the prior art, the present invention provides a network case collaborative search platform, a collaborative search method and a device thereof, and aims to solve the technical problems of long case detection time and low case detection efficiency in the prior art.
The technical scheme of the invention is as follows:
a network case collaborative platform, the platform comprising:
the case receiving module is used for acquiring the case to be collaborated, auditing the case to be collaborated, and acquiring and storing the case data of the case to be collaborated if the auditing is passed;
the case data analysis module is used for analyzing the case data to obtain the area to which the case belongs and the information of the staff responsible for the case;
the case task allocation module is used for acquiring case data, splitting a case into a plurality of subtasks according to the case data and allocating the subtasks to the office workers;
and the case task processing module is used for acquiring the processing result of the subtasks of the operator and generating case collaborative data according to the processing result.
Further, the platform also comprises a collaborative results query module,
and the collaborating result query module is used for checking the processing result of the sponsor.
Further preferably, the case task assigning module includes:
the first subtask allocation unit is used for splitting the case into a plurality of first-level subtasks according to the case data and allocating the first-level subtasks to first-level managers;
the second subtask allocation unit is used for splitting the first-level subtask into a plurality of second-level subtasks and allocating the second-level subtasks to second-level workers;
and the third subtask allocation unit is used for splitting the second-level subtasks into a plurality of third-level subtasks and allocating the third-level subtasks to third-level workers.
Further, the platform also comprises an instant communication module,
the instant messaging module is used for instant messaging among the dealers of the same case.
Further preferably, the instant messaging module comprises:
the instant messaging unit is used for adding all the dealers of the same case to the same chat group and carrying out instant message communication;
and the file transmission unit is used for transmitting files in the same chat group.
Preferably, the platform further comprises an identity verification module,
and the identity verification module is used for verifying the identity of the login personnel.
Furthermore, the case data analysis module is also used for obtaining the case type fed back by the salesman and matching the corresponding first organizer according to the case type.
Another embodiment of the present invention provides a network case collaborative search platform-based collaborative search method, including:
acquiring a case to be collaborated, auditing the case to be collaborated, and acquiring and storing case data of the case to be collaborated if the auditing is passed;
analyzing the case data to obtain the area of the case and the information of the business staff responsible for the case;
acquiring case data, splitting a case into a plurality of subtasks according to the case data, and distributing the subtasks to a manager;
and acquiring a subtask processing result fed back by the operator, and generating case collaborative data.
Another embodiment of the present invention provides a collaborative search device based on the above network case collaborative search platform, the device includes at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above-described network case collaborative platform based collaborative method.
Yet another embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the network case collaborative method described above.
Has the advantages that: the embodiment of the invention can enable a network company to selectively carry out the cooperative investigation on the processable case, and can split the case into a plurality of subtasks, thereby improving the processing efficiency, shortening the case detection time and improving the case detection efficiency by carrying out the cooperative investigation on the case through the network company.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a block diagram of a platform for collaborative network case investigation according to a preferred embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for collaborating on network cases according to a preferred embodiment of the present invention;
FIG. 3 is a diagram of a hardware structure of a network case collaborating device according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Embodiments of the present invention will be described below with reference to the accompanying drawings.
The embodiment of the invention provides a network case collaborative checking platform. Referring to fig. 1, fig. 1 is a block diagram illustrating a network case collaborative platform according to a preferred embodiment of the present invention. As shown in fig. 1, a network case collaborative platform is shown, the platform 1 includes:
the case receiving module 100 is configured to obtain a case to be collaborated, examine the case to be collaborated, and if the examination passes, obtain and store case data of the case to be collaborated;
the case data analysis module 200 is used for analyzing the case data to obtain the area to which the case belongs and the information of the staff responsible for the case;
the case task allocation module 300 is used for acquiring case data, splitting a case into a plurality of subtasks according to the case data, and allocating the subtasks to the sponsor;
the case task processing module 400 is configured to obtain a processing result of the sub-task of the administrator, and generate case collaborative data according to the processing result.
In specific implementation, the network case collaborative inspection platform of the embodiment of the invention is mainly oriented to network companies. When the public security organ detects a case, the network company is required to collaborate, and the case information can be uploaded through the network case collaborating platform.
And the case receiving module receives the case to be collaborated, the salesman sends the case to be collaborated to the leader audit, the leader audit judges whether the case can be processed or not, if the case can be processed, the case is judged to be passed, and if the case can not be processed, the case is judged to be not passed. After the audit is passed, storing case data of the case to be collaborated, and pushing the accepted result to a public security organization; if the audit is not passed, the acceptance is not carried out, and the result of the acceptance is pushed to the public security organization.
The case data analysis module analyzes the stored case data, acquires the mechanism address to which the case belongs and the salesman information corresponding to the case, acquires the supervisor of the salesman according to the salesman information, and pushes the case to the supervisor of the salesman.
The case task allocation module is used for the manager of the salesperson to push the case to the corresponding manager, and then the manager divides the case into a plurality of subtasks and issues the subtasks to the manager.
The case task processing module is used for processing the subtasks of the manager, feeding back the processing results to the platform, generating case collaborating data according to the subtask processing results of all the managers, and sending the finally generated case collaborating data to the public security organization.
Further, the platform also comprises a collaborative results query module,
and the collaborating result query module is used for checking the processing result of the sponsor.
In specific implementation, the collaborating result query module is used for a salesman to log in the case collaborating platform, query the processing progress of each manager of a case in own business and urge relevant personnel according to own needs.
Further preferably, the case task assigning module includes:
the first subtask allocation unit is used for splitting the case into a plurality of first-level subtasks according to the case data and allocating the first-level subtasks to first-level managers;
the second subtask allocation unit is used for splitting the first-level subtask into a plurality of second-level subtasks and allocating the second-level subtasks to second-level workers;
and the third subtask allocation unit is used for splitting the second-level subtasks into a plurality of third-level subtasks and allocating the third-level subtasks to third-level workers.
When the case is implemented specifically, the first subtask allocation unit is used for the sales executive to split the case into a plurality of first-level subtasks according to the case type and allocate the first-level subtasks to the technical executive.
The second subtask allocation unit is used for the technical supervisor to split the first-level subtask to generate a plurality of second-level subtasks and allocate the second-level subtasks to the group leader.
And the third subtask allocation unit is used for the group leader to split the second-level subtasks to generate a plurality of third-level subtasks and allocate the third-level subtasks to group members, and the group members are responsible for evidence obtaining and infiltration. Penetration includes, but is not limited to, obtaining the relevant IP address, server address and domain name, and address owner.
Further, the platform also comprises an instant communication module,
the instant messaging module is used for instant messaging among the dealers of the same case.
When the instant messaging module is specifically implemented, all tasks of the same case can be automatically added into the group chat, and the cooperative work is facilitated.
Further preferably, the instant messaging module comprises:
the instant messaging unit is used for adding all the dealers of the same case to the same chat group and carrying out instant message communication;
and the file transmission unit is used for transmitting files in the same chat group.
When the instant communication unit is implemented specifically, the instant communication unit is used for supporting simultaneous communication among a plurality of people in group chat, and the communication can use characters or voice. The file transfer unit is used for file transfer among all the dealers.
Preferably, the platform further comprises an identity verification module,
and the identity verification module is used for verifying the identity of the login personnel.
During specific implementation, the identity verification module can verify the identities of login personnel, an administrator sets the opening authority of case data in advance, and different login personnel correspond to different viewing authorities. And after the identity of the login personnel is verified, entering a corresponding interface according to the identity. The interface implementation can be realized at an android end and a web end.
Furthermore, the case data analysis module is also used for obtaining the case type fed back by the salesman and matching the corresponding first organizer according to the case type.
In particular, the service personnel obtains the processing type of the network case, wherein the processing type comprises but is not limited to telephone, phishing, judicial appraisal, electronic appraisal and network data verification. And distributing corresponding technical supervisors according to the processing types.
The embodiment of the invention provides a network case collaborative checking method. Referring to fig. 2, fig. 2 is a flowchart illustrating a network case collaborating method according to a preferred embodiment of the present invention. As shown in fig. 2, it includes the steps of:
s100, acquiring a case to be collaborated, auditing the case to be collaborated, and acquiring and storing case data of the case to be collaborated if the audit is passed;
step S200, analyzing the case data to obtain the area to which the case belongs and the information of the staff responsible for the case;
s300, acquiring case data, splitting the case into a plurality of subtasks according to the case data, and distributing the subtasks to the managers;
and S400, obtaining a subtask processing result fed back by the sponsor, and generating case collaborative data.
In specific implementation, the case to be collaborated is received, the business officer sends the case to be collaborated to the leader audit, the leader audit judges whether the case can be processed or not, if the case can be processed, the case is judged to be passed, and if the case cannot be processed, the case is judged to be not passed. After the audit is passed, storing case data of the case to be collaborated, and pushing the accepted result to a public security organization; if the audit is not passed, the acceptance is not carried out, and the result of the acceptance is pushed to the public security organization.
Analyzing the stored case data, acquiring the mechanism address of the case and the salesman information corresponding to the case, acquiring the supervisor of the salesman according to the salesman information, and pushing the case to the supervisor of the salesman.
After the manager of the salesperson pushes the case to the corresponding manager, the manager divides the case into a plurality of subtasks and issues the subtasks to the manager.
The office workers process the subtasks of the office workers, the processing results are fed back to the platform, case collaborating data are generated according to the subtask processing results of all the office workers, and finally the generated case collaborating data are sent to the public security organs.
The embodiment of the invention can realize that the network company can selectively carry out the cooperative investigation on the processable case, and can split the case into a plurality of subtasks, thereby improving the processing efficiency, shortening the case detection time and improving the case detection efficiency by carrying out the cooperative investigation on the case through the network company.
It should be noted that, a certain order does not necessarily exist between the above steps, and those skilled in the art can understand, according to the description of the embodiments of the present invention, that in different embodiments, the above steps may have different execution orders, that is, may be executed in parallel, may also be executed interchangeably, and the like.
Another embodiment of the present invention provides a network case collaborative platform-based collaborative search device, as shown in fig. 3, the device 10 includes:
one or more processors 110 and a memory 120, where one processor 110 is illustrated in fig. 3, the processor 110 and the memory 120 may be connected by a bus or other means, and the connection by the bus is illustrated in fig. 3.
The processor 110 is used to implement the various control logic of the apparatus 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an ARM (Acorn RISC machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. Processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The memory 120 is a non-volatile computer-readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the network case collaboration method in the embodiment of the present invention. The processor 110 executes various functional applications and data processing of the apparatus 10 by executing nonvolatile software programs, instructions and units stored in the memory 120, that is, implements the network case collaboration method in the above method embodiment.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an application program required for operating the device, at least one function; the storage data area may store data created according to the use of the device 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to device 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in the memory 120, and when executed by the one or more processors 110, perform the network case collaborative method in any of the above-described method embodiments, e.g., performing the above-described method steps S100 to S400 in fig. 2.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform method steps S100-S400 of fig. 2 described above.
By way of example, non-volatile storage media can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
Another embodiment of the present invention provides a computer program product comprising a computer program stored on a non-volatile computer-readable storage medium, the computer program comprising program instructions which, when executed by a processor, cause the processor to perform the network case co-searching method of the above-described method embodiment. For example, the method steps S100 to S400 in fig. 2 described above are performed.
The above-described embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions essentially or contributing to the related art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Conditional language such as "can," "might," or "may" is generally intended to convey that a particular embodiment can include (yet other embodiments do not include) particular features, elements, and/or operations, among others, unless specifically stated otherwise or otherwise understood within the context as used. Thus, such conditional language is also generally intended to imply that features, elements, and/or operations are in any way required for one or more embodiments or that one or more embodiments must include logic for deciding, with or without input or prompting, whether such features, elements, and/or operations are included or are to be performed in any particular embodiment.
What has been described herein in the specification and drawings includes examples that can provide a network case collaborative method and apparatus. It will, of course, not be possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the disclosure, but it can be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications can be made to the disclosure without departing from the scope or spirit thereof. In addition, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings and from practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and the drawings be considered in all respects as illustrative and not restrictive. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (10)
1. A network case collaborative platform, the platform comprising:
the case receiving module is used for acquiring the case to be collaborated, auditing the case to be collaborated, and acquiring and storing the case data of the case to be collaborated if the auditing is passed;
the case data analysis module is used for analyzing the case data to obtain the area to which the case belongs and the information of the staff responsible for the case;
the case task allocation module is used for acquiring case data, splitting a case into a plurality of subtasks according to the case data and allocating the subtasks to the office workers;
and the case task processing module is used for acquiring the processing result of the subtasks of the operator and generating case collaborative data according to the processing result.
2. The network case collaborative platform of claim 1, wherein the platform further comprises a collaborative results query module,
and the collaborating result query module is used for checking the processing result of the sponsor.
3. A network case collaborative platform according to claim 2, wherein said case task assignment module comprises:
the first subtask allocation unit is used for splitting the case into a plurality of first-level subtasks according to the case data and allocating the first-level subtasks to first-level managers;
the second subtask allocation unit is used for splitting the first-level subtask into a plurality of second-level subtasks and allocating the second-level subtasks to second-level workers;
and the third subtask allocation unit is used for splitting the second-level subtasks into a plurality of third-level subtasks and allocating the third-level subtasks to third-level workers.
4. A network case collaborative platform according to claim 3, wherein said platform further comprises an instant messaging module,
the instant messaging module is used for instant messaging among the dealers of the same case.
5. The network case collaborative platform of claim 4, wherein the instant messaging module comprises:
the instant messaging unit is used for adding all the dealers of the same case to the same chat group and carrying out instant message communication;
and the file transmission unit is used for transmitting files in the same chat group.
6. A network case collaborative platform according to claim 3, wherein said platform further comprises an identity verification module,
and the identity verification module is used for verifying the identity of the login personnel.
7. The network case collaborative platform according to claim 6, wherein the case data parsing module is further configured to obtain case types fed back by the salesperson, and match corresponding first transactants according to case types.
8. A method for collaborating on the network case collaborating platform according to any claim 1-7, wherein the method comprises:
acquiring a case to be collaborated, auditing the case to be collaborated, and acquiring and storing case data of the case to be collaborated if the auditing is passed;
analyzing the case data to obtain the area of the case and the information of the business staff responsible for the case;
acquiring case data, splitting a case into a plurality of subtasks according to the case data, and distributing the subtasks to a manager;
and acquiring a subtask processing result fed back by the operator, and generating case collaborative data.
9. A collaborative device according to any one of claims 1-7, wherein the device comprises at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the network case collaborative platform based collaborative method of claim 8.
10. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the network case collaborative method of claim 8.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102799467A (en) * | 2011-05-27 | 2012-11-28 | 金蝶软件（中国）有限公司 | Method and system for allocating tasks |
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