CN110826734A - Remote data management method and system for safe operation and maintenance service platform - Google Patents
Remote data management method and system for safe operation and maintenance service platform Download PDFInfo
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Abstract
The invention discloses a remote data management method and a system of a safe operation and maintenance service platform, which comprises the following steps: step S1, the big data platform monitors the operation and maintenance information of a plurality of servers connected with the big data platform in real time; step S2, the big data platform displays the current operation and maintenance state of the server connected with the big data platform, and monitors and displays the latest bug and patch which are updated or issued currently of the related website and the system version information of the equipment terminal connected with the server in real time through the cloud server; and step S3, the big data platform matches the server operation and maintenance information with the latest acquired related loophole and patch information, if the server operation and maintenance information is matched with the latest acquired related loophole and patch information, the big data platform performs updating operation, records the updating content and the updating time, and if the server operation and maintenance information is not matched with the latest acquired related loophole and patch information, the big data platform displays no updating on the foreground. The invention does not need to manually monitor the server, reduces the operation and maintenance cost, can display the configuration information of the server through the big data platform, and automatically updates the configuration information of the server through the big data platform, and has strong intellectualization.
Description
Technical Field
The invention belongs to the field of power management, and relates to a remote data management method and system for a safe operation and maintenance service platform.
Background
After China has undergone large-scale informatization development, the informatization level and degree of enterprises have been greatly improved. The scale of the enterprise application system is larger and larger, and the content is more and more comprehensive and deeper. With the continuous operation of these systems, the contents involved in the operation and maintenance management of the server are also more and more important, and configuration information such as vulnerabilities, patches, system versions and the like of the server are also the key points and difficulties in the operation and maintenance of enterprise applications.
As various network attack technologies become more advanced and more popularized, the network system of the enterprise faces the danger of being attacked at any time, often suffers invasion and damage of different degrees, and seriously interferes the normal operation of the enterprise network; the increasing security threat forces enterprises to strengthen the security protection of networks and business systems, pursue multi-level and three-dimensional security defense systems continuously, build security operation and maintenance service centers, track system events in real time, detect various security attacks in real time, take corresponding control actions in time, eliminate or reduce the loss caused by the attacks, and protect the normal operation of the enterprise networks and business systems as much as possible.
At present, the existing implementation method for data acquisition of the security operation and maintenance service platform needs manual operation for acquisition and management of configuration information such as bugs, patches, system version information and the like, has high labor cost and time consumption, and cannot be competent for the task of real-time performance and low cost of the security operation and maintenance service platform of the current enterprise on the system.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a remote data management method and system for a security operation and maintenance service platform, so as to solve the problems that acquisition and management of configuration information such as bugs, patches, system version information, and the like require manual operation, and are high in labor cost and time-consuming.
In one aspect of the present invention, a remote data management method for a secure operation and maintenance service platform is provided, which includes the following steps:
step S1, the big data platform monitors the operation and maintenance information of a plurality of servers connected with the big data platform in real time;
step S2, the big data platform displays the current operation and maintenance state of the server connected with the big data platform, and monitors and displays the latest bug and patch which are updated or issued currently of the related website and the system version information of the equipment terminal connected with the server in real time through the cloud server;
and step S3, the big data platform matches the server operation and maintenance information with the latest acquired related loophole and patch information, if the server operation and maintenance information is matched with the latest acquired related loophole and patch information, the big data platform performs updating operation, records the updating content and the updating time, and if the server operation and maintenance information is not matched with the latest acquired related loophole and patch information, the big data platform displays no updating on the foreground.
Further, the operation and maintenance information includes: vulnerability information, patch information, system version information, and configuration environment information.
Further, in step S3, when the big data platform monitors the relevant website in real time through the cloud server for issuing a new bug update package, the big data platform directly downloads a bug fix package for fixing the bug from the relevant website, scans the Linux system server, and determines whether the Linux system server has fixed the latest bug, if the bug is not fixed, the big data platform issues the bug fix package for fixing the bug to the server, and fixes the bug, and if the bug is fixed, the big data platform continues to monitor the relevant website through the cloud server for issuing a new bug update package.
Further, in step S3, when the big data platform monitors, in real time, that new patch information is issued to a relevant website through the cloud server, the big data platform directly downloads a patch file corresponding to the patch information from the relevant website, scans the Window system server, and determines whether the Window system server has an up-to-date patch, and if the patch is not installed, the big data platform issues the patch file corresponding to the patch information to the Window server, and installs the patch file, and if the patch is repaired, the big data platform continues to monitor whether a new patch is issued to the relevant website through the cloud server.
Further, in step S3, when the big data platform monitors the relevant website in real time through the cloud server that the latest version of the application is delivered, the big data platform directly downloads the upgrade version for the application from the relevant website, scans the device terminal connected to the server through the server, and determines whether the device terminal has updated the latest system version, if the system version is not updated, the big data platform delivers the latest version system to the device terminal through the server, updates the system for the device terminal in the background, and if the system version is updated, the big data platform continues to monitor whether the relevant website has updated the new system version through the cloud server.
Further, the application program is an application program bound by a server provided by a merchant and a service provider.
In another aspect of the present invention, a remote data management system of a secure operation and maintenance service platform is further provided, so as to implement any one of the methods described above, including:
the big data platform is used for monitoring operation and maintenance information of a plurality of servers connected with the big data platform in real time and monitoring latest bugs and patches issued by related websites and system version information of equipment terminals connected with the servers;
the plurality of servers are respectively connected with the big data platform and used for providing operation and maintenance information and terminal equipment information for the big data platform and providing installation authority for the big data platform;
the terminal devices are connected with the server, provide terminal device information for the big data platform through the server, and provide background authority for the big data platform;
and the cloud server is used for monitoring information of related websites in cooperation with the big data platform, providing latest bugs, patches and system version information of the equipment terminal connected with the cloud server in time and providing download service for the big data platform.
Further, the equipment terminal comprises a smart phone, a tablet computer and a personal computer.
Further, an account number of a Linux server for bug fixing, bug fixing time, a bug storage path, bug scanning time, a bug scanning period and a bug file uploading path;
account number of Windows server needing patch updating, patch updating time, patch file storage path, patch scanning time and patch scanning period;
the account number of the equipment terminal for version upgrading, the version upgrading time, the storage path of the latest version upgrading packet, the version scanning time and the version scanning period.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a remote data management method and a remote data management system for a safe operation and maintenance service platform, wherein information of a large data platform for monitoring a server and a related website can be displayed on a foreground, so that the operation and maintenance conditions of a network and a service system can be monitored in real time, the latest configuration information such as bugs, patches, system version information and the like can be updated in time, the time and the labor cost are saved and convenient, and the user experience is greatly improved;
the big data platform can display configuration information such as bugs and patches of a plurality of servers connected with the big data platform and system version information of equipment terminals connected with the servers, and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a main flow diagram of a remote data management method for a secure operation and maintenance service platform according to the present invention.
Fig. 2 is a schematic matching flow diagram of a remote data management method of a secure operation and maintenance service platform according to the present invention.
Fig. 3 is a schematic structural diagram of a remote data management system of a secure operation and maintenance service platform according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 shows an architecture schematic diagram of an embodiment of a remote data management method for a secure operation and maintenance service platform provided by the present invention, in this embodiment, the method includes the following steps:
step S1, the big data platform monitors the operation and maintenance information of a plurality of servers connected with the big data platform in real time;
in a specific embodiment, the operation and maintenance information includes: vulnerability information, patch information, system version information, and configuration environment information.
Specifically, the servers include a Windows server and a Linux server, the Windows server is mainly suitable for patch installation, and the Linux server is suitable for bug fixing.
Step S2, the big data platform displays the current operation and maintenance state of the server connected with the big data platform, and monitors and displays the latest bug and patch which are updated or issued currently of the related website and the system version information of the equipment terminal connected with the server in real time through the cloud server;
in a specific embodiment, the big data platform can display configuration information such as bugs and patches of a plurality of servers connected with the big data platform and system version information of equipment terminals connected with the servers, so that the configuration information is clear at a glance, and workers can clearly know the operation and maintenance conditions of the servers through the big data platform; the time for updating the vulnerability, the patch and the system version information of the server, the vulnerability information, the patch information and the system version number of the terminal equipment connected with the server can be displayed, so that a worker can know the latest configuration information below the related website in time and can also know whether the current server updates the latest configuration information.
As shown in fig. 2, in step S3, the big data platform matches the server operation and maintenance information with the latest acquired related vulnerability and patch information, if the two information are matched, the update operation is performed, and the update content and the update time are recorded, and if the two information are not matched, no update is displayed in the foreground.
Specifically, when the big data platform monitors a related website in real time through a cloud server and issues a new vulnerability update package, the big data platform directly downloads a bug fix package for bug fix from the related website, scans the Linux system server and judges whether the Linux system server fixes the latest vulnerability, if the vulnerability is not fixed, the big data platform issues the bug fix package for bug fix to the server, the bug is fixed, and if the vulnerability is fixed, the big data platform continues to monitor whether the related website has the new vulnerability update package through the cloud server and issues the new vulnerability update package.
In a specific embodiment, a big data platform is connected with a red hat official network, and acquires issued CVE information from the red hat official network, and downloads a bug hunting package for repairing a bug; and the big data platform scans the Linux server connected with the big data platform in real time, judges whether the Linux server needs to repair the vulnerability or not, and acquires the error packet to repair and rollback the Linux server which needs to repair the vulnerability if the Linux server needs to repair the vulnerability.
Judging whether the Linux server needs to perform bug fixing comprises the following steps: and if the version information of the system of the Linux server does not have the relevant information of the vulnerability needing to be repaired, namely the CVE information issued by the red hat official website, determining that the Linux server needs to repair the vulnerability, and if the version information of the system of the Linux server contains the relevant information of the vulnerability needing to be repaired, determining that the Linux server does not need to repair the vulnerability.
The big data platform records the time of the latest CVE information issued by the red hat official website, and simultaneously records the account number of a Linux server needing to be subjected to bug fixing, bug fixing time, a bug storage path, bug scanning time, a bug scanning period and a bug file uploading path.
In addition, the big data platform also displays the total number of the bugs, the number of installed bugs, the total number of the Linux servers with the bugs installed and the repair condition of the Linux servers.
In another specific embodiment, when the big data platform monitors a relevant website in real time through a cloud server to issue new patch information, the big data platform directly downloads a patch file corresponding to the patch information from the relevant website, scans a Window system server to judge whether the Window system server installs a latest patch, if the patch is not installed, the big data platform issues the patch file corresponding to the patch information to the Window server to install the patch file, and if the patch is repaired, the big data platform continues to monitor the relevant website through the cloud server to issue the new patch.
Specifically, the big data platform is connected with the Microsoft official network, and obtains the patch information released by the Microsoft official network and the patch file corresponding to the patch information; and the big data platform scans the Windows server connected with the big data platform in real time, judges whether the Windows server needs patch updating or not, and issues the patch file to the Windows server needing patch installation for patch installation if the Windows server needs patch updating.
Judging whether the Windows server needs to be installed with the patch comprises the following steps: and judging whether the Windows server is provided with the patch corresponding to the patch number, if so, indicating that the patch is not needed to be updated, and if not, indicating that the patch is needed to be updated.
The big data platform records the latest patch information released by the Microsoft official network, and simultaneously records the account number of a Windows server needing patch updating, the patch updating time, the patch file storage path, the patch scanning time and the patch scanning period.
In addition, the big data platform also shows the total number of patches, the number of installed patches, the total number of Windows servers with updated patches and the patch update condition of the Windows servers.
In another specific embodiment, when the big data platform monitors a relevant website in real time through a cloud server and issues a latest version of an application program, the big data platform directly downloads an upgrade version for the application program from the relevant website, scans an equipment terminal connected with the server through the server and judges whether the equipment terminal updates the latest system version, if the system version is not updated, the big data platform issues the latest version system for the equipment terminal through the server, updates the system for the equipment terminal in the background, and if the system version is updated, the big data platform continues to monitor whether the relevant website has a new system version update through the cloud server.
Specifically, the device terminal connected with the server is bound, and the application programs installed on the device terminal can update the latest version at intervals, so that when the application program of the latest version is updated, the application program of the device terminal can be automatically updated by the big data platform; the application program is an application program bound by a server provided by a merchant and a service provider, and the application program comprises a chat application program or an entertainment application program.
The big data platform monitors that the related website has the latest version of the issued application program through the cloud server, and then downloads the application program of the latest version; and the big data platform judges whether the application program of the equipment terminal is updated with the latest version or not, and if the application program of the equipment terminal is not updated with the latest version, the application program is issued to the equipment terminal bound and connected with the server so that the equipment terminal can lift the application program.
The big data platform records the time of the released latest application program version, and simultaneously, the big data platform also records the account number of the equipment terminal needing version upgrading, the version upgrading time, the storage path of the latest version upgrading packet, the version scanning time and the version scanning period
As shown in fig. 3, in another aspect of the present invention, there is further provided a remote data management system of a secure operation and maintenance service platform, for implementing any one of the methods, where the system includes:
the big data platform is used for monitoring operation and maintenance information of a plurality of servers connected with the big data platform in real time and monitoring latest bugs and patches issued by related websites and system version information of equipment terminals connected with the servers;
the plurality of servers are respectively connected with the big data platform and used for providing operation and maintenance information and terminal equipment information for the big data platform and providing installation authority for the big data platform;
the terminal devices are connected with the server, provide terminal device information for the big data platform through the server, and provide background authority for the big data platform;
and the cloud server is used for monitoring information of related websites in cooperation with the big data platform, providing latest bugs, patches and system version information of the equipment terminal connected with the cloud server in time and providing download service for the big data platform.
The cloud server is connected with the big data platform, the big data platform is connected with the plurality of servers, part of the servers are connected with the plurality of equipment terminals, and the cloud server is connected with related websites, such as Microsoft official networks or red hat official networks.
It should be understood that the servers include Windows servers and Linux servers; and the Windows server is mainly suitable for patch installation, and the Linux server is suitable for bug fixing.
Specifically, the equipment terminal comprises a smart phone, a tablet personal computer and a personal computer.
In a specific embodiment, the big data platform monitors a plurality of servers connected with the big data platform and records the following data:
account number of Linux server for bug fixing, bug fixing time, bug storing path, bug scanning time, bug scanning period and bug file uploading path;
account number of Windows server needing patch updating, patch updating time, patch file storage path, patch scanning time and patch scanning period;
the account number of the equipment terminal for version upgrading, the version upgrading time, the storage path of the latest version upgrading packet, the version scanning time and the version scanning period.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a remote data management method and a remote data management system for a safe operation and maintenance service platform, wherein information of a large data platform for monitoring a server and a related website can be displayed on a foreground, so that the operation and maintenance conditions of a network and a service system can be monitored in real time, the latest configuration information such as bugs, patches, system version information and the like can be updated in time, the time and the labor cost are saved and convenient, and the user experience is greatly improved;
the big data platform can display configuration information such as bugs and patches of a plurality of servers connected with the big data platform and system version information of equipment terminals connected with the servers, and the like.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (9)
1. A remote data management method of a safety operation and maintenance service platform is characterized by comprising the following steps:
step S1, the big data platform monitors the operation and maintenance information of a plurality of servers connected with the big data platform in real time;
step S2, the big data platform displays the current operation and maintenance state of the server connected with the big data platform, and monitors and displays the latest bug and patch which are updated or issued currently of the related website and the system version information of the equipment terminal connected with the server in real time through the cloud server;
and step S3, the big data platform matches the server operation and maintenance information with the latest acquired related loophole and patch information, if the server operation and maintenance information is matched with the latest acquired related loophole and patch information, the big data platform performs updating operation, records the updating content and the updating time, and if the server operation and maintenance information is not matched with the latest acquired related loophole and patch information, the big data platform displays no updating on the foreground.
2. The method as claimed in claim 1, wherein in step S1, the operation and maintenance information includes: vulnerability information, patch information, system version information, and configuration environment information.
3. The method of claim 2, wherein in step S3, when the big data platform monitors the relevant website in real time through the cloud server for issuing a new bug update package, the big data platform directly downloads a bug package for repairing a bug from the relevant website, the big data platform scans the Linux system server to determine whether the Linux system server has repaired the latest bug, if the bug is not repaired, the big data platform issues the bug package for repairing the bug to the server, repairs the bug, and if the bug is repaired, the big data platform continues to monitor the relevant website through the cloud server for issuing a new bug update package.
4. The method according to claim 3, wherein in step S3, when the big data platform monitors, in real time, that the relevant website issues new patch information through the cloud server, the patch file corresponding to the patch information is downloaded directly from the relevant website, the big data platform scans the Window system server to determine whether the Window system server has installed the latest patch, if the patch is not installed, the big data platform issues the patch file corresponding to the patch information to the Window server to install the patch file, and if the patch is repaired, the big data platform continues to monitor, through the cloud server, whether the relevant website has a new patch issued.
5. The method according to claim 4, wherein in step S3, when the big data platform monitors the relevant website in real time through the cloud server that the latest version of the application is delivered, the upgrade version for the application is directly downloaded from the relevant website, the big data platform scans the device terminal connected to the server through the server to determine whether the device terminal has updated the latest system version, if the system version is not updated, the big data platform delivers the latest version system to the device terminal through the server, and updates the system for the device terminal in the background, and if the system version is updated, the big data platform continues to monitor the relevant website through the cloud server whether the new system version is updated.
6. The method of claim 4, wherein the application is a merchant-bound application with a server provided by a facilitator.
7. A remote data management system of a secure operation and maintenance service platform, for implementing the method of any one of claims 1 to 6, wherein the system comprises:
the big data platform is used for monitoring operation and maintenance information of a plurality of servers connected with the big data platform in real time and monitoring latest bugs and patches issued by related websites and system version information of equipment terminals connected with the servers;
the plurality of servers are respectively connected with the big data platform and used for providing operation and maintenance information and terminal equipment information for the big data platform and providing installation authority for the big data platform;
the terminal devices are connected with the server, provide terminal device information for the big data platform through the server, and provide background authority for the big data platform;
and the cloud server is used for monitoring information of related websites in cooperation with the big data platform, providing latest bugs, patches and system version information of the equipment terminal connected with the cloud server in time and providing download service for the big data platform.
8. The system of claim 7, wherein the device terminals include smart phones, tablet computers, and personal PCs.
9. The system of claim 8, wherein the big data platform records the following data while monitoring a plurality of servers connected thereto:
account number of Linux server for bug fixing, bug fixing time, bug storing path, bug scanning time, bug scanning period and bug file uploading path;
account number of Windows server needing patch updating, patch updating time, patch file storage path, patch scanning time and patch scanning period;
the account number of the equipment terminal for version upgrading, the version upgrading time, the storage path of the latest version upgrading packet, the version scanning time and the version scanning period.
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