CN110968897A - Routing forwarding based on nginx and vx-api-gatway - Google Patents
Routing forwarding based on nginx and vx-api-gatway Download PDFInfo
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Abstract
The invention belongs to the technical field of micro-services, and particularly relates to a method for realizing routing forwarding based on nginx and vx-api-gatway, which comprises a request end, a receiving end, a central processor and a feedback end, wherein the request end is in signal connection with the receiving end, the receiving end is in signal connection with the central processor, and the central processor is in signal connection with the feedback end; according to the invention, through setting the anomaly detection, when malicious query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, when illegal query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, when privacy query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, so that the safety of the invention is enhanced under the action of the anomaly detection.
Description
Technical Field
The invention belongs to the technical field of micro services, and particularly relates to a method for realizing route forwarding based on nginx and vx-api-gatway.
Background
At present, with the popularity of micro-service architecture, distributed application is more and more extensive, and many complex systems are split into micro-service forms for deployment, so that great hidden dangers exist in the complexity and safety of calling between micro-services and between systems, but the current micro-service retrieval information is not comprehensive, and the accuracy of information sources cannot be effectively prevented.
Disclosure of Invention
To solve the problems set forth in the background art described above. The invention provides a method for realizing route forwarding based on nginx and vx-api-gatway, which has the characteristic of good safety performance.
In order to achieve the purpose, the invention provides the following technical scheme: a routing forwarding is realized based on nginx and vx-api-gatway, and the method comprises a request end, a receiving end, a central processor and a feedback end, wherein the request end is in signal connection with the receiving end, the receiving end is in signal connection with the central processor, and the central processor is in signal connection with the feedback end, and the method comprises the following steps:
the method comprises the following steps: a user inquires through a request terminal;
step two: the request end transmits the data to the receiving end;
step three: the receiving end transmits the received data to the central processor;
step four: the central processor feeds back the inquired structure through the feedback end.
Preferably, the central processor includes an anomaly detection unit, a list detection unit, a level detection unit, and a database, the anomaly detection unit is electrically connected to the list detection unit, the list detection unit is electrically connected to the level detection unit, the level detection unit is electrically connected to the database, and the central processor detection method includes the following steps:
the method comprises the following steps: the central processor transmits the received data to the abnormity detection for detection;
step two: the abnormal detection transmits the data without abnormality to the list detection, and feeds back the data with abnormality;
step three: the list detection transmits the detected different data to the grade detection, or directly carries out the grade inquiry;
step four: and the grade detection carries out data query of different grades on the detected grades in the database respectively.
Preferably, the anomaly detection includes malicious query, illegal query and privacy query, the anomaly detection is electrically connected to the malicious query, the anomaly detection is electrically connected to the illegal query, the anomaly detection is electrically connected to the privacy query, and the detection method includes the following steps:
the method comprises the following steps: the abnormal detection firstly carries out malicious query on the data, and if the data has malicious search, the data is directly transmitted to a feedback end for feedback;
step two: carrying out illegal query on the data during the abnormal detection, and directly transmitting the data to a feedback end for feedback if illegal search exists;
step three: the data is subjected to privacy inquiry while the abnormality is detected, and if the data has the inquiry privacy, the data is directly transmitted to a feedback end for feedback;
step four: the anomaly detection passes data without anomalies to the roster detection.
Preferably, the list detection includes a black list and a white list, the list detection is electrically connected to the black list, and the list detection is electrically connected to the white list, and the detection method includes the following steps:
the method comprises the following steps: the method comprises the steps that blacklist detection is conducted on data, and if the detected data are blacklisted, the blacklist detection directly feeds back the detected data through a feedback end;
step two: the method comprises the following steps of detecting a list and simultaneously carrying out white list detection on data, and if the detected data is white, directly carrying out corresponding grade query on the detected data by the list detection;
step three: the roster detection passes the detected data to the level detection.
Preferably, the level detection includes a highest level, a middle level and a normal level, the level detection is electrically connected to the highest level, the level detection is electrically connected to the middle level, and the level detection is electrically connected to the normal level:
the method comprises the following steps: the grade detection firstly carries out highest grade query on the data, and if the highest grade is adopted, corresponding data is directly extracted from the database;
step two: carrying out grade detection and intermediate grade query on the data, and directly extracting corresponding data in the database if the data is the intermediate grade;
step three: carrying out grade detection and ordinary grade query on the data, and directly extracting corresponding data from the database if the data is ordinary grade;
step four: the database transmits the corresponding data to the feedback end for direct feedback.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through setting the anomaly detection, when malicious query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, when illegal query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, when privacy query occurs, data can be intercepted under the action of the anomaly detection, and feedback is carried out through the feedback end, so that the safety of the invention is enhanced under the action of the anomaly detection.
2. According to the invention, through setting the list detection, when the detected data is a blacklist, interception is directly carried out, meanwhile, feedback is carried out through the feedback end, when the detected data is a white list, corresponding grade query can be directly carried out, and under the action of the list detection, the safety of the invention can be further enhanced.
3. According to the invention, through setting the grade detection, when the detected data is the highest grade, corresponding data extraction is directly carried out in the database, when the detected data is the middle grade, corresponding data extraction is directly carried out in the database, when the detected data is the common grade, corresponding data extraction is directly carried out in the database, and under the action of the grade detection, the efficiency of the invention is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the flow chart of the present invention;
FIG. 2 is a schematic diagram of the CPU of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1-2, the present invention provides the following technical solutions: a routing forwarding is realized based on nginx and vx-api-gatway, and the method comprises a request end, a receiving end, a central processor and a feedback end, wherein the request end is in signal connection with the receiving end, the receiving end is in signal connection with the central processor, and the central processor is in signal connection with the feedback end, and the method comprises the following steps:
the method comprises the following steps: a user inquires through a request terminal;
step two: the request end transmits the data to the receiving end;
step three: the receiving end transmits the received data to the central processor;
step four: the central processor feeds back the inquired structure through the feedback end.
Specifically, the central processor comprises an anomaly detection unit, a list detection unit, a grade detection unit and a database, wherein the anomaly detection unit is electrically connected with the list detection unit, the list detection unit is electrically connected with the grade detection unit, the grade detection unit is electrically connected with the database, and the central processor detection method comprises the following steps:
the method comprises the following steps: the central processor transmits the received data to the abnormity detection for detection;
step two: the abnormal detection transmits the data without abnormality to the list detection, and feeds back the data with abnormality;
step three: the list detection transmits the detected different data to the grade detection, or directly carries out the grade inquiry;
step four: and the grade detection carries out data query of different grades on the detected grades in the database respectively.
Specifically, the anomaly detection includes malicious query, illegal query and privacy query, the anomaly detection is electrically connected with the malicious query, the anomaly detection is electrically connected with the illegal query, by setting the anomaly detection, when the malicious query occurs, the data can be intercepted under the action of the anomaly detection, and simultaneously feedback is performed through the feedback end, when the illegal query occurs, the data can be intercepted under the action of the anomaly detection, and simultaneously feedback is performed through the feedback end, when the privacy query occurs, the data can be intercepted under the action of the anomaly detection, and simultaneously feedback is performed through the feedback end, and under the action of the anomaly detection, the safety of the invention is enhanced, and the detection method includes the following steps:
the method comprises the following steps: the abnormal detection firstly carries out malicious query on the data, and if the data has malicious search, the data is directly transmitted to a feedback end for feedback;
step two: carrying out illegal query on the data during the abnormal detection, and directly transmitting the data to a feedback end for feedback if illegal search exists;
step three: the data is subjected to privacy inquiry while the abnormality is detected, and if the data has the inquiry privacy, the data is directly transmitted to a feedback end for feedback;
step four: the anomaly detection passes data without anomalies to the roster detection.
Specifically, the list detection includes a blacklist and a white list, the list detection is electrically connected with the blacklist, the list detection is electrically connected with the white list, through setting the list detection, when the detected data is the blacklist, interception is directly performed, meanwhile, feedback is performed through a feedback end, when the detected data is the white list, corresponding grade query can be directly performed, and under the action of the list detection, the safety of the invention can be further enhanced, and the detection method includes the following steps:
the method comprises the following steps: the method comprises the steps that blacklist detection is conducted on data, and if the detected data are blacklisted, the blacklist detection directly feeds back the detected data through a feedback end;
step two: the method comprises the following steps of detecting a list and simultaneously carrying out white list detection on data, and if the detected data is white, directly carrying out corresponding grade query on the detected data by the list detection;
step three: the roster detection passes the detected data to the level detection.
Specifically, the level detection comprises a highest level, a middle level and a common level, the level detection is electrically connected with the highest level, the level detection is electrically connected with the middle level, corresponding data extraction is directly performed in the database when the detected data is the highest level by setting the level detection, corresponding data extraction is directly performed in the database when the detected data is the middle level, corresponding data extraction is directly performed in the database when the detected data is the common level, and the efficiency of the invention is improved under the action of the level detection, wherein the level detection is electrically connected with the common level:
the method comprises the following steps: the grade detection firstly carries out highest grade query on the data, and if the highest grade is adopted, corresponding data is directly extracted from the database;
step two: carrying out grade detection and intermediate grade query on the data, and directly extracting corresponding data in the database if the data is the intermediate grade;
step three: carrying out grade detection and ordinary grade query on the data, and directly extracting corresponding data from the database if the data is ordinary grade;
step four: the database transmits the corresponding data to the feedback end for direct feedback.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A route forwarding is realized based on nginx and vx-api-gatway, including request end, receiving terminal, central processing unit and feedback end, characterized by that: the method comprises the following steps that:
the method comprises the following steps: a user inquires through a request terminal;
step two: the request end transmits the data to the receiving end;
step three: the receiving end transmits the received data to the central processor;
step four: the central processor feeds back the inquired structure through the feedback end.
2. The method of claim 1, wherein the routing forwarding is implemented based on nginx and vx-api-gatway, and wherein: the central processor comprises an anomaly detection unit, a list detection unit, a grade detection unit and a database, wherein the anomaly detection unit is electrically connected with the list detection unit, the list detection unit is electrically connected with the grade detection unit, the grade detection unit is electrically connected with the database, and the central processor detection method comprises the following steps:
the method comprises the following steps: the central processor transmits the received data to the abnormity detection for detection;
step two: the abnormal detection transmits the data without abnormality to the list detection, and feeds back the data with abnormality;
step three: the list detection transmits the detected different data to the grade detection, or directly carries out the grade inquiry;
step four: and the grade detection carries out data query of different grades on the detected grades in the database respectively.
3. The method of claim 1, wherein the routing forwarding is implemented based on nginx and vx-api-gatway, and wherein: the anomaly detection comprises malicious query, illegal query and privacy query, the anomaly detection is electrically connected with the malicious query, the anomaly detection is electrically connected with the illegal query, the anomaly detection is electrically connected with the privacy query, and the detection method comprises the following steps
The method comprises the following steps: the abnormal detection firstly carries out malicious query on the data, and if the data has malicious search, the data is directly transmitted to a feedback end for feedback;
step two: carrying out illegal query on the data during the abnormal detection, and directly transmitting the data to a feedback end for feedback if illegal search exists;
step three: the data is subjected to privacy inquiry while the abnormality is detected, and if the data has the inquiry privacy, the data is directly transmitted to a feedback end for feedback;
step four: the anomaly detection passes data without anomalies to the roster detection.
4. The method of claim 1, wherein the routing forwarding is implemented based on nginx and vx-api-gatway, and wherein: the list detection comprises a blacklist and a white list, the list detection is electrically connected with the blacklist, the list detection is electrically connected with the white list, and the detection method comprises the following steps:
the method comprises the following steps: the method comprises the steps that blacklist detection is conducted on data, and if the detected data are blacklisted, the blacklist detection directly feeds back the detected data through a feedback end;
step two: the method comprises the following steps of detecting a list and simultaneously carrying out white list detection on data, and if the detected data is white, directly carrying out corresponding grade query on the detected data by the list detection;
step three: the roster detection passes the detected data to the level detection.
5. The method of claim 1, wherein the routing forwarding is implemented based on nginx and vx-api-gatway, and wherein: the grade detection comprises a highest grade, a middle grade and a common grade, the grade detection is electrically connected with the highest grade, the grade detection is electrically connected with the middle grade, and the grade detection is electrically connected with the common grade:
the method comprises the following steps: the grade detection firstly carries out highest grade query on the data, and if the highest grade is adopted, corresponding data is directly extracted from the database;
step two: carrying out grade detection and intermediate grade query on the data, and directly extracting corresponding data in the database if the data is the intermediate grade;
step three: carrying out grade detection and ordinary grade query on the data, and directly extracting corresponding data from the database if the data is ordinary grade;
step four: the database transmits the corresponding data to the feedback end for direct feedback.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248472A (en) * | 2013-04-16 | 2013-08-14 | 华为技术有限公司 | Operation request processing method and system and attack identification device |
| CN103795679A (en) * | 2012-10-26 | 2014-05-14 | 珠海市君天电子科技有限公司 | Rapid detection method and system for phishing website |
| CN105119915A (en) * | 2015-08-14 | 2015-12-02 | 中国传媒大学 | Malicious domain detection method and device based on intelligence analysis |
| CN110334548A (en) * | 2019-07-16 | 2019-10-15 | 桂林电子科技大学 | A kind of data exception detection method based on difference privacy |
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- 2019-12-28 CN CN201911384159.7A patent/CN110968897A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103795679A (en) * | 2012-10-26 | 2014-05-14 | 珠海市君天电子科技有限公司 | Rapid detection method and system for phishing website |
| CN103248472A (en) * | 2013-04-16 | 2013-08-14 | 华为技术有限公司 | Operation request processing method and system and attack identification device |
| CN105119915A (en) * | 2015-08-14 | 2015-12-02 | 中国传媒大学 | Malicious domain detection method and device based on intelligence analysis |
| CN110334548A (en) * | 2019-07-16 | 2019-10-15 | 桂林电子科技大学 | A kind of data exception detection method based on difference privacy |
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Application publication date: 20200407 |