CN112256543A - Server abnormal behavior analysis and alarm method based on traffic data perception - Google Patents
Server abnormal behavior analysis and alarm method based on traffic data perception Download PDFInfo
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- 206010000117 Abnormal behaviour Diseases 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000008447 perception Effects 0.000 title claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 38
- 230000004044 response Effects 0.000 claims abstract description 32
- 230000002159 abnormal effect Effects 0.000 claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 6
- 238000013500 data storage Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 16
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3419—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment by assessing time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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Abstract
A server abnormal behavior analysis and alarm method based on traffic data perception comprises the following steps: s1, establishing a flow data information base of the monitoring object; s2, collecting the flow data information of the monitored object in real time; s3, calculating the standard deviation by using the collected flow data information and the flow data information in the corresponding historical data stored in the flow data information base; and S4, determining whether to carry out abnormal alarm of the server according to the deviation situation of the flow data information. The method and the device can acquire the flow data information in a flow data sensing mode, calculate the standard deviation of the response time of the flow data information, compare the calculated standard deviation with the preset standard deviation, conveniently judge whether the server has abnormal behaviors or not, and give an alarm when the server has the abnormal behaviors, so that operation and maintenance personnel can find and solve the abnormal problems of the server in time, and avoid causing larger loss.
Description
Technical Field
The invention relates to the technical field of server monitoring, in particular to a server abnormal behavior analysis and alarm method based on flow data perception.
Background
A server is one of computers that runs faster, is more heavily loaded, and is more expensive than a regular computer. A server provides computing or application services to other clients in a network. The server has high-speed CPU computing capability, long-time reliable operation, strong I/O external data throughput capability and better expansibility. Generally, a server has the capability of responding to a service request, and supporting services and security services according to the services provided by the server. The safety of the server is directly related to the normal operation of the WEB cloud service, and the server plays a key role in the stability of the whole WEB cloud service system. The WEB cloud service system deployed in the cloud server cluster generally comprises application servers Tomcat, Jboss, Websphere and WebLogic, databases MySQL, MongoDB, Redis, load balancers Nginx and the like, and application programs deployed on corresponding WEB containers, which are independent of the safety and stability of the servers; for the whole WEB cloud service system, the cloud server cluster with high availability and high stability performance is more prominent in importance. During the operation of the system, part of computer users cannot pay sufficient attention to the security maintenance of the network server due to the lack of basic security maintenance awareness of the network server. In the process of long-term use of the computer, effective safety maintenance measures are lacked, and finally a series of operation faults occur in the network server.
Under the prior art, when the server needs to deal with a huge number of user groups, if operation and maintenance personnel can not perform timely maintenance when abnormal behaviors occur in the server, the server and data safety can be seriously affected, and therefore the network traffic of the server needs to be monitored, analyzed and alarmed, so that the operation and maintenance personnel can timely find and solve the abnormal problem of the server, and the larger loss is avoided.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides a server abnormal behavior analysis and alarm method based on flow data sensing, which can acquire flow data information in a flow data sensing mode, calculate the standard deviation of response time of the flow data information, compare the calculated standard deviation with the preset standard deviation, conveniently judge whether the server has abnormal behavior, and alarm when the server has abnormal behavior, so that operation and maintenance personnel can find and solve the abnormal problem of the server in time, and avoid causing larger loss.
(II) technical scheme
The invention provides a server abnormal behavior analysis and alarm method based on flow data perception, which comprises the following steps:
s1, establishing a flow data information base of the monitoring object;
s2, collecting the flow data information of the monitored object in real time;
s3, calculating the standard deviation by using the collected flow data information and the flow data information in the corresponding historical data stored in the flow data information base;
and S4, determining whether to carry out abnormal alarm of the server according to the deviation situation of the flow data information.
Preferably, the step of establishing the traffic data information base of the monitoring object is as follows:
a1, screening out monitoring objects needing to be subjected to flow data monitoring;
a2, acquiring flow data information of a monitored object;
and A3, establishing a flow data information base according to the acquired flow data information.
Preferably, the types of the traffic data information of the real-time collected monitoring object include two types of traffic data information, i.e. B1 and B2:
b1, recording the content of the flow data of the real-time collected monitoring object;
and B2, recording the response time of the flow data of the monitored object collected in real time.
Preferably, the standard deviation is calculated as follows:
wherein S is the standard deviation of the flow data response time of the real-time acquisition monitoring object in any monitoring time period, N is the total times of sending requests to the server in the monitoring time period, N is a positive integer and is not less than 2, TiAnd T is the average value of the response time in the traffic data information of the real-time collected monitored object in the monitoring time period.
Preferably, the preset server response time deviation threshold value is Sd, and the method for determining whether to perform the server abnormality warning according to the traffic data information deviation includes two result determination methods of C1 and C2:
c1, if the deviation result S of the flow data information is larger than a preset deviation threshold Sd, determining that the abnormal alarm of the server is needed;
and C2, if the deviation result S of the flow data information is less than or equal to the preset deviation threshold Sd, determining that the abnormal alarm of the server is not needed.
Preferably, the abnormal alarm mode of the server comprises at least one mode of short message alarm, telephone alarm, WeChat alarm, QQ alarm and mail alarm.
The invention provides a server abnormal behavior analysis and alarm system based on flow data perception, which comprises:
the flow data information base establishing module is used for establishing a flow data information base of the monitored object;
the flow data information real-time acquisition module is used for acquiring the flow data information of the monitored object in real time;
the flow data information standard deviation calculation module is in communication connection with the flow data information base establishment module and the flow data information real-time acquisition module respectively and is used for calculating the standard deviation by utilizing the acquired flow data information and the flow data information in the corresponding historical data stored in the flow data information base;
and the server analysis and alarm module is in communication connection with the flow data information standard deviation calculation module and is used for determining whether to carry out server abnormal alarm according to the flow data information deviation condition.
Preferably, the system further comprises an analysis and alarm data storage module, wherein the analysis and alarm data storage module is used for storing the standard deviation data calculated by the traffic data information standard deviation calculation module and determining whether to perform server abnormal alarm data according to the traffic data information deviation condition.
Compared with the prior art, the technical scheme of the invention has the following beneficial technical effects:
in the invention, when a server meets a large number of data requests, abnormal behaviors are easy to occur, the response speed of the server is reduced, the response time is prolonged, and the response speed of the server is in inverse proportion to the response time, so that the operation condition of the server can be indirectly judged through the relation, the invention can acquire flow data information in a flow data sensing mode, carry out standard deviation calculation on the response time of the flow data information, compare the calculated standard deviation with a preset standard deviation, conveniently judge whether the server has the abnormal behaviors or not, and give an alarm when the server has the abnormal behaviors, so that operation and maintenance personnel can find and solve the abnormal problems of the server in time to avoid causing larger loss, and when the server does not have the abnormal behaviors, namely when the server normally operates, the operation and maintenance personnel can not give an alarm, the normal operation efficiency of the server is ensured.
Drawings
Fig. 1 is a schematic structural diagram of a system for analyzing and alarming abnormal behavior of a server based on traffic data sensing according to the present invention.
Fig. 2 is a schematic flow chart of a server abnormal behavior analysis and alarm method based on traffic data sensing according to the present invention.
Fig. 3 is a schematic structural diagram of a traffic data information base for establishing a monitored object in a server abnormal behavior analysis and alarm method based on traffic data sensing according to the present invention.
Fig. 4 is a schematic structural diagram of collecting traffic data information of a monitored object in real time in the server abnormal behavior analysis and alarm method based on traffic data sensing provided by the present invention.
Fig. 5 is a schematic structural diagram of determining whether to perform server abnormal alarm according to a traffic data information deviation condition in the server abnormal behavior analysis and alarm method based on traffic data sensing 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 in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 2 to 5, the method for analyzing and alarming abnormal behavior of a server based on traffic data sensing provided by the present invention includes the following steps:
s1, establishing a flow data information base of the monitoring object, wherein the flow data information base is used for storing historical data and time corresponding to the historical data;
s2, collecting flow data information of the monitored object in real time to sense and acquire flow data in real time for subsequent analysis and calculation;
s3, calculating the standard deviation by using the collected flow data information and the flow data information in the corresponding historical data stored in the flow data information base, judging the abnormal behavior of the server by using the standard deviation, and indirectly judging whether the abnormal behavior of the server occurs by measuring the discrete degree of the flow data;
and S4, determining whether to carry out abnormal alarm of the server according to the deviation situation of the flow data information.
In an alternative embodiment, the step of establishing the traffic data information base of the monitoring object is as follows:
a1, screening monitoring objects needing to be subjected to flow data monitoring, and monitoring flow data of specific objects, wherein pertinence is high, monitoring efficiency is high, and accuracy is high;
a2, acquiring flow data information of a monitored object, accurately acquiring the flow data information of a specific monitored object, and ensuring the accuracy of a monitoring result;
a3, establishing a flow data information base according to the acquired flow data information, and facilitating the analysis and calculation of the subsequent calling data.
In an alternative embodiment, the types of the traffic data information of the real-time collected monitoring object include two types of traffic data information, i.e. the following B1 and B2:
b1, recording the content of the flow data of the real-time collection monitoring object, thereby being capable of mastering the information data requested from the server in real time;
and B2, recording the response time of collecting the traffic data of the monitored object in real time, namely the response time of requesting the information data from the server.
It should be noted that when the server encounters a large amount of data requests, abnormal behavior is likely to occur, the response speed of the server is reduced, the response time is prolonged, and the response speed of the server is inversely proportional to the response time, so that the operation condition of the server can be indirectly determined through the above relationship.
In an alternative embodiment, the standard deviation is calculated as follows:
wherein S is the standard deviation of the flow data response time of the real-time acquisition monitoring object in any monitoring time period, N is the total times of sending requests to the server in the monitoring time period, N is a positive integer and is not less than 2, TiThe response time of the traffic data request at any positive integer time in the monitoring time period,
and acquiring the average value of the response time in the flow data information of the monitored object in real time in the monitoring time period.
It should be noted that the standard deviation of the response time of the flow data can be calculated by using the above formula, so that the standard deviation can be used for analyzing the operation condition of the server, namely whether the server abnormal behavior occurs or not.
In an optional embodiment, the preset deviation threshold of the server response time is Sd, and the manner of determining whether to perform the server abnormal warning according to the deviation condition of the traffic data information includes the following two result determination manners, i.e., C1 and C2:
c1, if the deviation result S of the flow data information is larger than the preset deviation threshold Sd, judging that the abnormal alarm of the server is needed, and giving an alarm to operation and maintenance personnel in time;
and C2, if the deviation result S of the flow data information is less than or equal to the preset deviation threshold Sd, judging that the server abnormity warning is not needed, and not performing warning action on operation and maintenance personnel.
In an optional embodiment, the server abnormal alarm mode comprises at least one mode of short message alarm, telephone alarm, WeChat alarm, QQ alarm and mail alarm.
It should be noted that the short message alarm, the WeChat alarm and the QQ alarm all send information to the operation and maintenance personnel for alarm, and the mail alarm sends mail to the mailbox of the operation and maintenance personnel for alarm.
As shown in fig. 1, the system for analyzing and warning abnormal behavior of a server based on traffic data sensing provided by the present invention includes:
the flow data information base establishing module is used for establishing a flow data information base of the monitored object;
the flow data information real-time acquisition module is used for acquiring the flow data information of the monitored object in real time;
the flow data information standard deviation calculation module is in communication connection with the flow data information base establishment module and the flow data information real-time acquisition module respectively, so that two kinds of flow data information can be acquired, and the flow data information standard deviation calculation module is used for calculating the standard deviation by using the acquired flow data information and the flow data information in the corresponding historical data stored in the flow data information base;
and the server analysis and alarm module is in communication connection with the flow data information standard deviation calculation module and is used for determining whether to carry out server abnormal alarm according to the flow data information deviation condition.
In an optional embodiment, the system further comprises an analysis and alarm data storage module, wherein the analysis and alarm data storage module is used for storing the standard deviation data calculated by the traffic data information standard deviation calculation module and determining whether to perform server abnormal alarm data according to the traffic data information deviation condition, so that monitoring data generated in the server monitoring process can be effectively stored for query and calling.
In the invention, when a server meets a large number of data requests, abnormal behaviors are easy to occur, the response speed of the server is reduced, the response time is prolonged, and the response speed of the server is in inverse proportion to the response time, so that the operation condition of the server can be indirectly judged through the relation, the invention can acquire flow data information in a flow data sensing mode, carry out standard deviation calculation on the response time of the flow data information, compare the calculated standard deviation with a preset standard deviation, conveniently judge whether the server has the abnormal behaviors or not, and give an alarm when the server has the abnormal behaviors, so that operation and maintenance personnel can find and solve the abnormal problems of the server in time to avoid causing larger loss, and when the server does not have the abnormal behaviors, namely when the server normally operates, the operation and maintenance personnel can not give an alarm, the normal operation efficiency of the server is ensured.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (8)
1. A server abnormal behavior analysis and alarm method based on traffic data perception is characterized by comprising the following steps:
s1, establishing a flow data information base of the monitoring object;
s2, collecting the flow data information of the monitored object in real time;
s3, calculating the standard deviation by using the collected flow data information and the flow data information in the corresponding historical data stored in the flow data information base;
and S4, determining whether to carry out abnormal alarm of the server according to the deviation situation of the flow data information.
2. The abnormal server behavior analysis and alarm method based on traffic data perception according to claim 1, wherein the step of establishing the traffic data information base of the monitored object is as follows:
a1, screening out monitoring objects needing to be subjected to flow data monitoring;
a2, acquiring flow data information of a monitored object;
and A3, establishing a flow data information base according to the acquired flow data information.
3. The method for analyzing and alarming abnormal behavior of server based on traffic data perception according to claim 2, wherein the types of traffic data information of real-time collected monitoring objects include two types of traffic data information including B1 and B2:
b1, recording the content of the flow data of the real-time collected monitoring object;
and B2, recording the response time of the flow data of the monitored object collected in real time.
4. The method for analyzing and alarming abnormal behavior of server based on traffic data perception according to claim 3, wherein a calculation formula of standard deviation is as follows:
wherein S is the standard deviation of the flow data response time of the real-time acquisition monitoring object in any monitoring time period, N is the total times of sending requests to the server in the monitoring time period, N is a positive integer and is not less than 2, TiThe response time of the traffic data request at any positive integer time in the monitoring time period,
and acquiring the average value of the response time in the flow data information of the monitored object in real time in the monitoring time period.
5. The method as claimed in claim 4, wherein a deviation threshold of the server response time is preset as Sd, and the method for determining whether to perform the server abnormal alarm according to the deviation condition of the traffic data information includes two results determination methods of C1 and C2:
c1, if the deviation result S of the flow data information is larger than a preset deviation threshold Sd, determining that the abnormal alarm of the server is needed;
and C2, if the deviation result S of the flow data information is less than or equal to the preset deviation threshold Sd, determining that the abnormal alarm of the server is not needed.
6. The method for analyzing and alarming abnormal behavior of server based on traffic data perception according to claim 5, wherein the abnormal alarming mode of server includes at least one of short message alarm, telephone alarm, WeChat alarm, QQ alarm and mail alarm.
7. A server abnormal behavior analysis and alarm system based on traffic data perception is characterized by comprising:
the flow data information base establishing module is used for establishing a flow data information base of the monitored object;
the flow data information real-time acquisition module is used for acquiring the flow data information of the monitored object in real time;
the flow data information standard deviation calculation module is in communication connection with the flow data information base establishment module and the flow data information real-time acquisition module respectively and is used for calculating the standard deviation by utilizing the acquired flow data information and the flow data information in the corresponding historical data stored in the flow data information base;
and the server analysis and alarm module is in communication connection with the flow data information standard deviation calculation module and is used for determining whether to carry out server abnormal alarm according to the flow data information deviation condition.
8. The system according to claim 7, further comprising an analysis and alarm data storage module, wherein the analysis and alarm data storage module is configured to store the standard deviation data calculated by the traffic data information standard deviation calculation module, and determine whether to perform server abnormal alarm data according to the traffic data information deviation.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112907321A (en) * | 2021-02-03 | 2021-06-04 | 珠海市鸿瑞信息技术股份有限公司 | Big data-based information security anomaly sensing platform for data mining and analysis |
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| US20090238088A1 (en) * | 2008-03-19 | 2009-09-24 | Oki Electric Industry Co., Ltd. | Network traffic analyzing device, network traffic analyzing method and network traffic analyzing system |
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| CN110086649A (en) * | 2019-03-19 | 2019-08-02 | 深圳壹账通智能科技有限公司 | Detection method, device, computer equipment and the storage medium of abnormal flow |
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Effective date of registration: 20220908 Address after: 361000 units 1702 and 1703, No. 59, Chengyi North Street, phase III, software park, Xiamen, Fujian Applicant after: XIAMEN USEEAR INFORMATION TECHNOLOGY Co.,Ltd. Address before: Unit 1701, 59 Chengyi North Street, phase III, software park, Xiamen City, Fujian Province, 361000 Applicant before: FUJIAN QIDIAN SPACE-TIME DIGITAL TECHNOLOGY Co.,Ltd. |
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Application publication date: 20210122 |