CN107291515B - Client intelligent upgrading method and system based on state feedback - Google Patents
Client intelligent upgrading method and system based on state feedback Download PDFInfo
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- CN107291515B CN107291515B CN201710555675.6A CN201710555675A CN107291515B CN 107291515 B CN107291515 B CN 107291515B CN 201710555675 A CN201710555675 A CN 201710555675A CN 107291515 B CN107291515 B CN 107291515B
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Abstract
The invention discloses a client intelligent upgrading method and system based on state feedback, wherein the method comprises the following steps: analyzing the behavior habit data of the client, and constructing a user behavior model through data modeling analysis; combining the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputting the comprehensive upgrading strategy to a server; the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client; after the upgrade is successful, the server feeds back the upgrade state and the upgrade log of the upgrade function module to the client; the client generates a new comprehensive upgrading strategy and issues the new upgrading strategy to the server. By the scheme of the invention, automatic upgrading and precise upgrading can be realized.
Description
Technical Field
The invention relates to the field of data management, in particular to a client intelligent upgrading method and system based on state feedback.
Background
With the development of enterprise business, products and projects of core technologies with independent intellectual property rights are increasing continuously; meanwhile, with the increase of networks and business systems, security threats originating from the interior of enterprises are increasingly highlighted. The safety of information such as core technology information documents and the like related to the competitiveness of a company is important. Therefore, an effective data leakage prevention system is a necessary choice for enterprises to consolidate core competitiveness. Upgrading of data containment systems becomes a daily necessity for each enterprise.
The existing data leakage prevention system terminal upgrading mode in the market is considered, namely established strategy mode upgrading, for example, batch terminal upgrading is carried out according to departments, and then upgrading strategies are adjusted according to upgrading conditions, so that more labor is needed. The invention provides a method for upgrading an intelligent terminal of an existing data leakage prevention system.
Disclosure of Invention
In order to solve the technical problem, the invention provides a client intelligent upgrading method based on state feedback, wherein the client comprises a plurality of functional modules, and the method comprises the following steps:
(1) analyzing the behavior habit data of the client, and constructing a user behavior model through data modeling analysis;
(2) combining the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputting the comprehensive upgrading strategy to a server;
(3) the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client;
(4) after the upgrade is successful, the server feeds back the upgrade state and the upgrade log of the upgrade function module to the client;
(5) the client generates a new comprehensive upgrading strategy and issues the new upgrading strategy to the server.
According to the embodiment of the present invention, preferably, the step (1) of analyzing the client behavior habit data of the user, and the building of the user behavior model through data modeling analysis specifically includes: and constructing a user behavior model through analyzing the behavior habits of the user, the use frequency of the function modules and the corresponding function use habits of the function modules and data modeling analysis.
According to the embodiment of the present invention, preferably, the step (3) of the server performing single-point upgrade on the function module of the client by using the comprehensive upgrade policy specifically includes: and the server carries out single-point upgrade on the functional module of the client according to the comprehensive upgrade strategy and the upgrade priority of the functional module included by the client.
According to the embodiment of the present invention, preferably, the step (5) of generating a new comprehensive upgrade policy by the client, and issuing the new upgrade policy to the server specifically includes: the server further analyzes the use log, the running state log, the upgrading state log and the upgrading log of the upgrading function module, adjusts the established upgrading strategy, generates a new comprehensive upgrading strategy according to the established upgrading strategy and the user behavior model, and issues the new upgrading strategy to the server.
According to an embodiment of the present invention, preferably, the method further comprises the steps of:
(6) and the server upgrades the functional module of the client according to the new upgrading strategy.
In order to solve the above technical problem, the present invention provides a client intelligent upgrade system based on state feedback, wherein the client comprises a plurality of functional modules, and the system comprises:
the user behavior model building module is used for analyzing the client behavior habit data and building a user behavior model through data modeling analysis;
the upgrading strategy generating module combines the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputs the comprehensive upgrading strategy to a server;
the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client;
the upgrade feedback module is used for feeding back the upgrade state and the upgrade log of the upgrade function module to the client by the server after the upgrade is successful;
and the strategy adjusting module is used for generating a new comprehensive upgrading strategy by the client and sending the new upgrading strategy to the server.
According to the embodiment of the present invention, preferably, the user behavior model building module builds the user behavior model by analyzing the behavior habits of the user, the usage frequency of the function modules, and the corresponding function usage habits of the function modules, and by data modeling analysis.
According to the embodiment of the present invention, preferably, in the upgrade module, the server performs single-point upgrade on the function module of the client according to the comprehensive upgrade policy and according to the upgrade priority of the function module included in the client.
According to the embodiment of the present invention, preferably, in the policy adjustment module, the server further analyzes and adjusts the established upgrade policy by combining the use log, the operation state log, the upgrade state log, and the upgrade log of the upgrade function module, and then generates a new comprehensive upgrade policy according to the established upgrade policy and the user behavior model, and issues the new upgrade policy to the server.
To solve the above technical problem, the present invention provides a computer storage medium comprising computer program instructions which, when executed, perform one of the above methods.
The technical scheme of the invention achieves the following technical effects:
corresponding upgrading contents do not need to be manually configured on the server by a user, and automatic upgrading and precise upgrading are realized;
and the condition of failure in upgrading the user function module is effectively monitored and solved by combining the state feedback, and the satisfaction degree of the user on the software is improved.
Drawings
FIG. 1 is a system overview framework of the present invention
FIG. 2 is a flow chart of the present invention for constructing a user behavior model
FIG. 3 is a functional module upgrade flow chart of the present invention
FIG. 4 is a flowchart of the upgrade policy adjustment of the present invention
Detailed Description
In order to solve the technical problem, the invention provides an intelligent upgrading method based on state feedback, which mainly comprises the following steps:
1. clearly dividing terminal function modules, adding a module use statistical function, strengthening the modularization upgrading capability and avoiding the occurrence of strong association of the modules as much as possible;
2. on the basis of high modularization, generating a user behavior model, and calculating to obtain module use habits and logics generated by user behaviors;
3. when the terminal is upgraded, a comprehensive strategy is generated by combining a set strategy mode and a user behavior mode, and a module-based hierarchical upgrading process is established, wherein the comprehensive strategy comprises partition and trans-partition, non-use modules, common modules and the like;
4. and establishing a layered upgrading state feedback mechanism, and after each layer of upgrading is completed, judging the upgrading effect on line in real time by using the running state log and the user use log generated by the terminal, so that the established upgrading strategy is adjusted, the upgrading process with higher automation degree is realized, and the problem diffusion of upgrading is avoided.
< method of processing service >
The invention provides a client intelligent upgrading method based on state feedback, wherein the client comprises a plurality of functional modules, and the method comprises the following steps:
(1) and analyzing the behavior habit data of the client, and constructing a user behavior model through data modeling analysis.
And constructing a user behavior model through analyzing the behavior habits of the user, the use frequency of the function modules and the corresponding function use habits of the function modules and data modeling analysis.
(2) And combining the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputting the comprehensive upgrading strategy to a server.
(3) And the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client.
The step of performing single-point upgrade on the functional module of the client by the server by using the comprehensive upgrade strategy specifically includes: and the server carries out single-point upgrade on the functional module of the client according to the comprehensive upgrade strategy and the upgrade priority of the functional module included by the client.
(4) And after the upgrade is successful, the server feeds back the upgrade state and the upgrade log of the upgrade function module to the client.
(5) The client generates a new comprehensive upgrading strategy and issues the new upgrading strategy to the server.
The server further analyzes the use log, the running state log, the upgrading state log and the upgrading log of the upgrading function module, adjusts the established upgrading strategy, generates a new comprehensive upgrading strategy according to the established upgrading strategy and the user behavior model, and issues the new upgrading strategy to the server.
(6) And the server upgrades the functional module of the client according to the new upgrading strategy.
< business processing System >
The invention provides a client intelligent upgrading system based on state feedback, wherein the client comprises a plurality of functional modules, and the system comprises:
and the user behavior model building module is used for analyzing the client behavior habit data and building a user behavior model through data modeling analysis.
The user behavior model building module builds a user behavior model through analyzing the behavior habits of the user, the use frequency of the function modules and the corresponding function use habits of the function modules and through data modeling analysis.
And the upgrading strategy generating module combines the generated user behavior model with the established upgrading strategy to generate a comprehensive upgrading strategy and outputs the comprehensive upgrading strategy to the server.
And the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client.
And the server carries out single-point upgrade on the functional module of the client according to the comprehensive upgrade strategy and the upgrade priority of the functional module included by the client.
And the upgrade feedback module is used for feeding back the upgrade state and the upgrade log of the upgrade function module to the client after the upgrade is successful.
And the strategy adjusting module is used for generating a new comprehensive upgrading strategy by the client and sending the new upgrading strategy to the server.
The server further analyzes the use log, the running state log, the upgrading state log and the upgrading log of the upgrading function module, adjusts the established upgrading strategy, generates a new comprehensive upgrading strategy according to the established upgrading strategy and the user behavior model, and issues the new upgrading strategy to the server.
And the server upgrades the functional module of the client according to the new upgrading strategy.
< specific examples >
Fig. 1 shows a system configuration of the present invention, which includes a data leakage prevention personal terminal and a data leakage prevention server. The method comprises the steps that a client installs data leakage-proof client software on a personal terminal, collects input data of a user on the personal terminal, forms a user behavior model through data modeling calculation, meanwhile utilizes a terminal log to feed back and modify a set upgrading strategy, combines the generated user behavior model and the modified set upgrading strategy, generates a comprehensive upgrading strategy and outputs the comprehensive upgrading strategy to a server.
As in fig. 2, basic data collection is performed, and the collected data includes: network behavior data, service behavior data, and user function module preference data. And performing behavior modeling through text mining, natural language processing, machine learning, a prediction algorithm and a clustering algorithm. And constructing a user behavior model by using the corresponding functional habits through using the module frequency according to the basic attributes, the behavior characteristics, the interests and hobbies, the psychological characteristics and the behavior habits of the user.
As shown in fig. 3, a comprehensive upgrade strategy is generated by combining the generated user behavior model analysis data with a predetermined strategy and output to the server, and the server performs single-point upgrade on the designated module according to the generated comprehensive upgrade strategy and the priority level.
After the upgrade is successful, the server feeds the upgrade state and the log of the corresponding module back to the client, the client further analyzes the upgrade state and the log by combining the user, adjusts the set strategy, generates a new comprehensive upgrade strategy according to the set strategy and the user behavior model, sends the new upgrade strategy to the server, and the server upgrades the terminal according to the strategy. And forming a cycle to ensure the normal progress of the upgrade, and the flow is shown in figure 4.
A certain bank provides stable point-to-point module upgrading and personalized upgrading service for a client by specially customizing a PC (personal computer) client based on the business-level data anti-disclosure system.
Through personalized upgrade service, the following technical effects can be achieved:
the invention can obtain the upgrade service with high priority by the functional module with more use times of the client, and ensures that the user has more robust software experience during the use.
And point-to-point modularized upgrading is realized, corresponding upgrading contents do not need to be manually configured on the server by a user, and automatic upgrading and accurate upgrading are realized.
And the condition of failure in upgrading the user function module is effectively monitored and solved by combining the state feedback, and the satisfaction degree of the user on the software is improved.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be protected within the protection scope of the present invention.
Claims (8)
1. A method for intelligently upgrading a system at a client based on state feedback, wherein the system at the client comprises a plurality of functional modules, and the method comprises the following steps:
(1) analyzing the behavior habit data of the client, and constructing a user behavior model through data modeling analysis;
(2) combining the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputting the comprehensive upgrading strategy to a server;
(3) the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client;
(4) after the upgrade is successful, the server feeds back the upgrade state and the upgrade log of the upgrade function module to the client; establishing a layered upgrading state feedback mechanism, and after each layer of upgrading is completed, judging the upgrading effect in real time on line by using an operation state log and a user use log generated by a terminal so as to adjust a set upgrading strategy;
(5) the client generates a new comprehensive upgrading strategy and issues the new upgrading strategy to the server, and the method comprises the following steps: the server further analyzes the use log, the running state log, the upgrading state log and the upgrading log of the upgrading function module, adjusts the established upgrading strategy, generates a new comprehensive upgrading strategy according to the established upgrading strategy and the user behavior model, and issues the new upgrading strategy to the server.
2. The method according to claim 1, wherein the step (1) of analyzing the client behavior habit data of the user, and the step of constructing the user behavior model through data modeling analysis specifically comprises: and constructing a user behavior model through analyzing the behavior habits of the user, the use frequency of the function modules and the corresponding function use habits of the function modules and data modeling analysis.
3. The method according to claim 1, wherein the step (3) of the server performing single-point upgrade on the functional module of the client by using the comprehensive upgrade policy specifically includes: and the server carries out single-point upgrade on the functional module of the client according to the comprehensive upgrade strategy and the upgrade priority of the functional module included by the client.
4. The method of claim 1, further comprising the steps of:
(6) and the server upgrades the functional module of the client according to the new upgrading strategy.
5. A system for intelligently upgrading a system at a client based on state feedback, the system at the client comprises a plurality of functional modules, and the system comprises:
the user behavior model building module is used for analyzing the client behavior habit data and building a user behavior model through data modeling analysis;
the upgrading strategy generating module combines the generated user behavior model with a set upgrading strategy to generate a comprehensive upgrading strategy and outputs the comprehensive upgrading strategy to a server;
the server adopts the comprehensive upgrading strategy to carry out single-point upgrading on the functional module of the client;
the upgrade feedback module is used for feeding back the upgrade state and the upgrade log of the upgrade function module to the client by the server after the upgrade is successful; establishing a layered upgrading state feedback mechanism, and after each layer of upgrading is completed, judging the upgrading effect in real time on line by using an operation state log and a user use log generated by a terminal so as to adjust a set upgrading strategy;
the strategy adjusting module is used for generating a new comprehensive upgrading strategy by the client and sending the new upgrading strategy to the server; the client generates a new comprehensive upgrading strategy and issues the new upgrading strategy to the server, and the method comprises the following steps: the server further analyzes the use log, the running state log, the upgrading state log and the upgrading log of the upgrading function module, adjusts the established upgrading strategy, generates a new comprehensive upgrading strategy according to the established upgrading strategy and the user behavior model, and issues the new upgrading strategy to the server.
6. The system of claim 5, wherein the user behavior model building module builds the user behavior model by analyzing behavior habits of the user, usage frequency of the function modules, and corresponding function usage habits of the function modules, and by data modeling analysis.
7. The system of claim 5, wherein in the upgrade module, the server performs single-point upgrade on the function module of the client according to the comprehensive upgrade policy and according to the upgrade priority of the function module included in the client.
8. A computer storage medium comprising computer program instructions which, when executed, perform the method of any of claims 1-4.
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| CN112099820A (en) * | 2020-08-24 | 2020-12-18 | 华帝股份有限公司 | OTA (over the air) upgrading method, system and intelligent equipment |
| CN116700749A (en) * | 2023-02-15 | 2023-09-05 | 广东壹健康健康产业集团股份有限公司 | Personalized upgrading method and device for data acquisition strategy of intelligent equipment |
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