CN110750710A - Wind control protocol early warning method and device, computer equipment and storage medium - Google Patents
Wind control protocol early warning method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The present application relates to the field of data security technologies, and in particular, to a method and an apparatus for early warning a wind control protocol, a computer device, and a storage medium. The method comprises the following steps: acquiring a protocol keyword of a configured wind control protocol; inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords; selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword; acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of target data according to the risk calculation model, and comparing the target risk index with the standard risk index; and when the risk index is greater than the standard risk index, outputting early warning information of the wind control protocol. By adopting the method, whether the wind control protocol has risks can be judged efficiently, and early warning is carried out on the wind control protocol with the risks.
Description
Technical Field
The present application relates to the field of data security technologies, and in particular, to a method and an apparatus for early warning a wind control protocol, a computer device, and a storage medium.
Background
In recent years, with the rapid development of social economy, the credit industry develops faster and faster in modern society, and more credit companies develop along with the requirements of people. In the process of credit business, in order to maintain the stability of credit and prevent loss, a series of wind control protocols need to be formulated to evaluate business and business objects in a targeted manner.
However, after the wind control protocol is implemented, some external intermediary agencies or cheating and lending entities may crack the wind control protocol by some probing means, and after the wind control protocol is cracked, the lawless entities may avoid the conditions of the protocol to cheat and credit or other lawless acts.
Disclosure of Invention
Therefore, it is necessary to provide a wind control protocol early warning method, device, computer device and storage medium, which can efficiently determine whether a risk exists in a wind control protocol and perform early warning on the wind control protocol with the risk.
A method for early warning of a wind control protocol, the method comprising:
acquiring a protocol keyword of a configured wind control protocol;
inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords;
selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword;
acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of the target data according to the risk calculation model, and comparing the target risk index with the standard risk index;
and when the risk index is larger than the standard risk index, outputting early warning information of the wind control protocol.
In one embodiment, the selecting a target web page from the web page group according to the protocol keyword and crawling target data from the target web page according to the protocol keyword includes:
acquiring classification logic of preset protocol keywords, and extracting a first protocol keyword and a second protocol keyword from the protocol keywords according to the classification logic;
extracting a webpage label of a webpage to be compared in the webpage group, and matching the first protocol keyword with the webpage label;
taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as a target webpage;
and crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword.
In one embodiment, after the obtaining the classification logic of the preset protocol keyword, the method further includes:
obtaining similar phrases corresponding to the second protocol keywords according to the classification logic;
according to the second protocol keyword, crawling target data matched with the second protocol keyword from the target webpage, wherein the crawling comprises the following steps:
crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword;
crawling second subdata corresponding to the second protocol keyword from the target webpage according to the similar phrases;
and taking the first subdata and the second subdata as target data.
In one embodiment, the calculating a target risk indicator of the target data according to the risk calculation model includes:
counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data;
extracting scoring features corresponding to the risk calculation model from the target data;
calculating a first score according to the occurrence frequency and the scoring characteristics, and calculating a second score according to the occurrence time and the scoring characteristics;
and acquiring a weight characteristic corresponding to the risk calculation model, calculating a total score of the first score and the second score according to the weight characteristic, and acquiring a target risk index according to the total score.
In one embodiment, after the counting the occurrence frequency of the protocol keyword in the target data, the method further includes:
detecting whether the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency or not;
and when the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency, outputting high-risk alarm information of the wind control protocol.
In one embodiment, after the crawling target data from the target webpage according to the protocol keyword, the method further includes:
acquiring the configuration time of the wind control protocol;
acquiring the release time of the target data, and comparing the configuration time with the release time;
deleting the target data of which the release time is before the configuration time.
A wind-controlled protocol early warning device, the device comprising:
the acquisition module is used for acquiring the protocol key words of the configured wind control protocol;
the query module is used for querying the webpage grouping key words and querying the webpage grouping according to the protocol key words and the webpage grouping key words;
the selection module is used for selecting a target webpage from the webpage group according to the protocol keyword and crawling target data from the target webpage according to the protocol keyword;
the calculation module is used for acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of the target data according to the risk calculation model, and comparing the target risk index with the standard risk index;
and the output module is used for outputting the early warning information of the wind control protocol when the risk index is greater than the standard risk index.
In one embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring the classification logic of preset protocol keywords and extracting the first protocol keywords and the second protocol keywords from the protocol keywords according to the classification logic;
the extraction module is used for extracting the webpage labels of the webpages to be compared in the webpage groups and matching the first protocol keywords with the webpage labels;
the target webpage determining module is used for taking the webpage to be compared, which is successfully matched with the first protocol keyword and the webpage label, as a target webpage;
and the crawling module is used for crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The wind control protocol early warning method, the device, the computer equipment and the storage medium are used for providing a method capable of efficiently judging whether the wind control protocol has risks, acquiring configured protocol keywords of the wind control protocol, inquiring webpage grouping keywords, inquiring webpage grouping through the acquired protocol keywords and the webpage grouping keywords, wherein the webpage grouping can be classified into various websites, further selecting a target webpage from the webpage grouping according to the protocol keywords, crawling target data used for judging the risk indexes from the target webpage, acquiring a risk calculation model used for calculating the target risk indexes of the target data after crawling the target data, calculating the target risk indexes of the target data according to the risk calculation model, comparing the target risk indexes with standard risk indexes, and judging whether the target data has risks, and when the risk index is larger than the standard risk index, namely the target data has risk, early warning the risk agreement and outputting early warning information of the wind control agreement. The risk index is calculated through protocol key data of the wind control protocol of the detection target webpage, whether the wind control protocol has risks or not is judged through the risk index, early warning is conducted on the wind control protocol with the risks, and compared with the traditional wind control personnel for collecting the wind control protocol data and conducting manual analysis, the efficiency of judging whether the wind control protocol has wind control or not is improved, and early warning can be conducted on the wind control protocol with the risks after the wind control protocol is judged to have the risks.
Drawings
Fig. 1 is an application scenario diagram of a wind control protocol early warning method in an embodiment;
FIG. 2 is a schematic flow chart of a pre-warning method of a wind control protocol in an embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the target data crawling step of the wind control protocol in one embodiment;
FIG. 4 is a block diagram of an embodiment of a pre-warning device for a wind control protocol;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The early warning method of the wind control protocol can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The server 104 acquires a protocol keyword of a configured wind control protocol uploaded by the terminal 102; the server 104 inquires the webpage grouping keywords and inquires the webpage grouping according to the protocol keywords and the webpage grouping keywords; selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword; the server 104 acquires a preset risk calculation model and a standard risk index, calculates a target risk index of the target data according to the risk calculation model, and compares the target risk index with the standard risk index; and when the risk index is greater than the standard risk index, outputting early warning information of the wind control protocol. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for early warning of a wind control protocol is provided, which is described by taking the method as an example applied to the server 104 in fig. 1, and includes the following steps:
Specifically, the wind control agreement may be a risk control agreement established by an enterprise or an individual in order to reduce or eliminate risk events as much as possible during enterprise management or individual resource management. The protocol keyword may be a corresponding keyword obtained by the server according to the attribute of the wind control protocol, and may represent features such as a range or a condition of the wind control protocol, for example, when the wind control protocol is "no loan under 18 years old", the protocol keyword obtained by the server is "18 years old", "loan", "no loan", and the like. After the wind control protocol is configured, the server obtains a protocol keyword which can limit the range of the wind control protocol or key conditions of the wind control protocol from the wind control protocol according to the attribute of the wind control protocol.
And step 204, inquiring the webpage grouping key words, and inquiring webpage grouping according to the protocol key words and the webpage grouping key words.
Specifically, the webpage grouping keyword may be a keyword of a type of a corresponding webpage crawling data after a preset wind control protocol is configured, for example, the webpage grouping keyword may be a "forum webpage," a "credit transaction webpage," or other webpages, and the type of the webpage grouping keyword may be determined by a function of the webpage itself and may be stored in a tag of the webpage. After acquiring the protocol keywords corresponding to the wind control protocol and the keywords of the webpage types in the webpage labels, the server queries groups of the webpages according to the protocol keywords and the webpage grouping keywords, for example, the webpage groups can be all forum webpages and credit transaction webpages related to the protocol keywords "loan".
And step 206, selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword.
Specifically, the target web page may be one or more web pages with a higher degree of correlation with the protocol keyword in the web page group, the target data is a vocabulary in the target web page that matches with the protocol keyword of the wind control protocol, a risk index (degree of being cracked, degree of being exposed) of the related wind control policy may be represented by attributes (attributes include occurrence number, occurrence frequency, occurrence time, and the like) of the target data, and the target data matching with the protocol keyword may be, for example: when the agreement keyword is "18 years old" and "loan prohibition", the matched target data may be the words "18 years old" and "loan prohibition" crawled from the target web page. The server selects a target webpage from the webpage group according to the protocol keyword, queries in the webpage group through the protocol keyword, selects the queried webpage as the target webpage, and crawls target data related to the protocol keyword from the target webpage according to the protocol keyword.
And 208, acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of the target data according to the risk calculation model, and comparing the target risk index with the standard risk index.
Specifically, the target risk index refers to a risk index corresponding to the target data, and generally speaking, when the risk index of the target data is higher, the target risk index is higher, and the risk of the corresponding wind control agreement is higher. The risk calculation model may be a calculation model obtained by the server according to the type of the wind control protocol and the protocol keywords, for example, when the wind control protocol is "no loan under 18 years old", the corresponding risk calculation model may obtain a target risk index corresponding to the wind control protocol by calculating the occurrence frequency of target data such as "18 years old", "no loan" and the like within a preset time after the configuration of the wind control protocol. And the standard risk index is a risk defining standard of the wind control agreement, and when the target risk index corresponding to the wind control agreement is higher than the standard risk index, the risk of the risk agreement is shown. The server obtains a risk calculation model and a standard risk index corresponding to the wind control protocol, obtains preset risk parameters (such as occurrence frequency and occurrence time of the target data) in the target data according to the risk calculation model, calculates the preset risk parameters in the target data to obtain a target risk index, and compares the obtained target risk index with the standard risk index to judge whether the wind control protocol has risks.
And step 210, outputting early warning information of the wind control protocol when the risk index is greater than the standard risk index.
Specifically, the early warning information is warning information sent by the server to other servers or bound user terminals when the wind control protocol has a risk, and is used for reminding the user that the current wind control protocol has the risk. When the server detects that the risk index of the wind control protocol is larger than the standard risk index, the risk of the wind control protocol is indicated, and early warning information of the wind control protocol is output.
In the wind control protocol early warning method, a server acquires a configured protocol keyword of a wind control protocol; inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords; selecting a target webpage related to the wind control protocol from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword, wherein the target data can represent the risk condition of the configured wind control protocol; after target data are obtained, a preset risk calculation model capable of calculating the risk of the wind control agreement and a standard risk index are obtained, a target risk index of the target data is calculated according to the risk calculation model, and the target risk index is compared with the standard risk index; and when the risk index is greater than the standard risk index, the risk possibly existing in the wind control protocol is shown, and early warning information of the wind control protocol is output. The risk index is calculated through protocol key data of the wind control protocol of the detection target webpage, whether the wind control protocol has risks or not is judged through the risk index, early warning is conducted on the wind control protocol with the risks, and compared with the traditional wind control personnel for collecting the wind control protocol data and conducting manual analysis, the efficiency of judging whether the wind control protocol has wind control or not is improved, and early warning can be conducted on the wind control protocol with the risks after the wind control protocol is judged to have the risks.
In one embodiment, as shown in fig. 3, in the method for pre-warning a wind control protocol, a method for selecting a target web page from a group of web pages according to a protocol keyword and crawling target data from the target web page according to the protocol keyword includes:
Specifically, the classification logic of the protocol keyword may be determined by the server according to conditions such as an attribute of the protocol keyword, for example, a size of an inclusion range of the protocol keyword or a preset priority level of the protocol keyword, for example, when the wind control protocol is "no loan under 18 years old", among the attributes of the protocol keyword of the wind control protocol, "loan" belongs to a premise that the protocol keyword is higher in priority, and "18 years old" is a further requirement under the premise of "loan", and the priority is lower than "loan", which is a protocol keyword with lower priority. The server obtains the classification logic of the protocol keywords, classifies the protocol keywords according to the classification logic, and extracts a first protocol keyword (such as the above-mentioned "loan") and a second protocol keyword (such as the above-mentioned "18 years old") from the protocol keywords.
Specifically, the web page tag may be used to identify the type of website, such as "transaction-type website", "enterprise website", etc., and may further narrow the scope, such as "credit-type website", "credit-and-age-related website", etc. After the server obtains the webpage groups, extracting webpage labels of the webpages in the webpage groups, and matching the webpage labels with the first protocol keywords, so that a website matched with the first protocol keywords can be conveniently obtained.
And step 306, taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as a target webpage.
Specifically, the to-be-compared webpage refers to a webpage corresponding to a webpage label successfully matched with the first protocol keyword after the first protocol keyword is matched with the webpage label by the server, and the to-be-compared webpage is used as a target webpage for acquiring target data. For example, when there are 5 first protocol keywords of the wind control protocol, and when there are 4 or more web page tags of the web page that are the same as the first protocol keywords, the matching is successful.
And step 308, crawling target data matched with the second protocol keywords from the target webpage according to the second protocol keywords.
Specifically, after the server acquires the target webpage, data matched with the second data keyword is crawled from the target webpage according to the second protocol keyword, namely the target data, and the target data can be used for risk judgment of a subsequent wind control protocol.
According to the wind control protocol early warning method, the server classifies the protocol keywords through preset classification logic, and determines the target webpage and crawls the target data through different types of protocol keywords, so that whether risks exist in the wind control protocol or not can be determined more accurately through the target data crawled through the different types of protocol keywords of the wind control protocol.
In an embodiment, after obtaining the classification logic of the preset protocol keyword, the method for early warning of a wind control protocol may further include: obtaining the similar phrases corresponding to the second protocol keywords according to the classification logic; crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword, wherein the crawling comprises the following steps: crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword; crawling second subdata corresponding to a second protocol keyword from the target webpage according to the similar phrases; and taking the first sub-data and the second sub-data as target data.
Specifically, the similar phrases are phrases with high correlation degree of the second protocol keyword or phrases with the same meaning, but different expression modes, for example, when the second protocol keyword is "18 years old", the associated phrase may be "age", "18", and the like. The server acquires classification logic of the protocol keywords, divides the protocol keywords into first protocol keywords and second protocol keywords according to the classification logic, acquires similar phrases corresponding to the second protocol keywords, and crawls second subdata matched with the similar phrases when a target website crawls the first subdata matched with the second protocol keywords, wherein the target data are the first subdata and the second subdata.
In the embodiment, when the target website data is crawled, the data matched with the second protocol keyword is crawled, and meanwhile the data matched with the similar phrases of the second protocol keyword is crawled, so that the data related to the wind control protocol is comprehensively obtained, and whether the wind control protocol has risks or not can be more accurately judged.
In one embodiment, calculating a target risk indicator for target data from a risk calculation model includes: counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data; extracting scoring features corresponding to the risk calculation model from the target data; calculating a first score according to the occurrence frequency and the scoring characteristics, and calculating a second score according to the occurrence time and the scoring characteristics; and acquiring the weight characteristics corresponding to the risk calculation model, calculating the total score of the first score and the second score according to the weight characteristics, and obtaining the target risk index according to the total score.
Specifically, the weight feature may be weight distribution of the protocol keyword and the total score calculated by the appearance frequency and the appearance time of the protocol keyword when the protocol keyword of the wind control protocol is scored, and the scoring feature may be calculation of a corresponding risk frequency division according to the appearance frequency and the appearance data of the target data. The server calculates the target risk of the target data corresponding to the wind control protocol according to the scoring characteristics of the risk calculation model, can count the occurrence frequency of the protocol keywords in the target data and the time of the occurrence of the protocol keywords, and then gives a first score corresponding to the occurrence frequency of the protocol keywords and a second score corresponding to the occurrence time of the protocol keywords according to the scoring characteristics of the risk calculation model, wherein generally speaking, in the credit industry, the higher the frequency of the occurrence frequency of the protocol keywords and the closer the occurrence time of the protocol keywords to the configuration time of the wind control protocol after the wind control protocol is configured, the greater the corresponding risk and the higher the corresponding score and the higher the possibility of the risk of the wind control protocol are, then calculates the total score of the first score and the second score according to the weighting characteristics corresponding to the risk calculation model, the score of the total score represents the risk index of the wind control protocol, the higher the score, the higher the corresponding risk indicator, and the higher the risk of the wind control agreement. The specific calculation method can be as shown in table 1:
table 1:
in the embodiment, the total score of the wind control protocol is obtained by calculating the occurrence frequency and the occurrence time of the protocol keywords of the wind control protocol, and then the risk index of the wind control protocol is obtained, so that the risk index of the wind control data is calculated through data, and whether the wind control protocol has a risk or not can be judged more accurately.
In one embodiment, after counting the occurrence frequency of the protocol keywords in the target data, the method for early warning of the wind control protocol may further include: detecting whether the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency or not; and when the occurrence frequency of the protocol keywords in the target data exceeds the preset warning frequency, outputting high-risk alarm information of the wind control protocol.
The server can detect whether the occurrence frequency of the protocol keywords is higher than a preset warning frequency when counting the occurrence frequency of the protocol keywords in the target data, and when the occurrence frequency of the protocol keywords of the wind control protocol is higher than the warning frequency, the situation that the wind control protocol has serious risk and possibly brings great loss is indicated, and alarm information of the wind control protocol with high risk is output.
In the embodiment, whether the occurrence frequency of the protocol keywords exceeds the warning frequency or not is judged, so that whether the occurrence frequency of the protocol keywords in the wind control protocol exceeds the warning frequency or not is judged, and a user can be timely reminded when the wind control protocol can have larger potential safety hazards, so that subsequent loss is prevented.
In one embodiment, after the pre-warning method for the wind control protocol crawls the target data from the target webpage according to the protocol keyword, the method may further include: acquiring configuration time of a wind control protocol; acquiring the release time of the target data, and comparing the configuration time with the release time; and deleting the target data of which the release time is before the configuration time.
Specifically, after the server crawls the target data from the target webpage, the time (the configuration time of the wind control protocol) when the wind control protocol starts to be executed can be acquired, the release time of the target data on the target website is acquired, the release time of the target data is compared with the configuration time of the wind control protocol, and the target data of which the release time is before the configuration time of the wind control protocol is deleted according to the comparison result.
In the embodiment, the target data before the configuration of the wind control protocol is deleted, and the data without reference value for the risk judgment of the wind control protocol is further deleted, so that the target data before the configuration of the wind control protocol is deleted by comparing the configuration time with the release time, and whether the risk exists in the wind control protocol can be judged more accurately.
In an embodiment, the early warning method for the wind control protocol detects whether the wind control protocol has a risk by detecting a risk index of relevant data of a relevant webpage after the wind control protocol is configured, and performs early warning on a first wind control protocol with the risk. For example, a certain credit company configures a wind control protocol 'forbidding the loan service below 18 years old' to control the loan passing rate, but the wind control protocol may be cracked or found, the cracked wind control protocol may appear on various related websites, in order to deal with the possible risk, the server finds websites related to 'credit' according to the protocol keywords related to the wind control protocol after the configuration of the wind control protocol, finds discussion data related to '18 years old' and 'forbid loan' on the websites according to the protocol keywords, calculates risk indexes corresponding to the protocol keywords such as '18 years old' and 'forbid loan' by a calculation method of the risk indexes related to the wind control protocol, and judges whether the wind control protocol is cracked or found according to the risk indexes, that is, whether the wind control protocol has risk. Compared with the traditional wind control personnel for collecting wind control protocol data and carrying out manual analysis, the efficiency of judging whether wind control protocol has wind control is improved, and early warning can be carried out on the wind control protocol with risk after the wind control protocol is judged to have risk.
It should be understood that, although the steps in the flowcharts of fig. 2 and 3 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 3 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a wind control protocol early warning device, including: an obtaining module 402, a query module 404, a selecting module 406, a calculating module 408 and an output module 410, wherein:
an obtaining module 402, configured to obtain a protocol keyword of the configured wind control protocol.
And the query module 404 is configured to query the webpage grouping keywords, and query the webpage grouping according to the protocol keywords and the webpage grouping keywords.
And the selecting module 406 is configured to select a target webpage from the webpage group according to the protocol keyword, and crawl target data from the target webpage according to the protocol keyword.
The calculating module 408 is configured to obtain a preset risk calculation model and a standard risk index, calculate a target risk index of the target data according to the risk calculation model, and compare the target risk index with the standard risk index.
And the output module 410 is configured to output the early warning information of the wind control protocol when the risk indicator is greater than the standard risk indicator.
In one embodiment, the apparatus may further comprise:
and the second acquisition module is used for acquiring the classification logic of the preset protocol keywords and extracting the first protocol keywords and the second protocol keywords from the protocol keywords according to the classification logic.
And the extraction module is used for extracting the webpage labels of the webpages to be compared in the webpage groups and matching the first protocol keywords with the webpage labels.
And the target webpage determining module is used for taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as the target webpage.
And the crawling module is used for crawling target data matched with the second protocol keywords from the target webpage according to the second protocol keywords.
In one embodiment, the apparatus may further comprise:
and the homogeneous phrase acquisition module is used for acquiring homogeneous phrases corresponding to the second protocol keywords according to the classification logic.
The second crawling module is used for crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword, and comprises: crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword; and crawling second subdata corresponding to the second protocol keyword from the target webpage according to the similar phrases.
And the target data determining module is used for taking the first subdata and the second subdata as target data.
In one embodiment, the apparatus may further comprise:
and the counting module is used for counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data.
And the second extraction module is used for extracting the scoring characteristics corresponding to the risk calculation model from the target data.
And the second calculating module is used for calculating a first score according to the occurrence frequency and the scoring characteristics and calculating a second score according to the occurrence time and the scoring characteristics.
And the weight characteristic acquisition module is used for acquiring the weight characteristic corresponding to the risk calculation model, calculating the total score of the first score and the second score according to the weight characteristic, and acquiring the target risk index according to the total score.
In one embodiment, the apparatus may further comprise:
and the detection module is used for detecting whether the occurrence frequency of the protocol keywords in the target data exceeds the preset warning frequency or not.
And the second output module is used for outputting high-risk alarm information of the wind control protocol when the occurrence frequency of the protocol keywords in the target data exceeds the preset warning frequency.
In one embodiment, the apparatus may further comprise:
and the configuration time acquisition module is used for acquiring the configuration time of the wind control protocol.
And the release time acquisition module is used for acquiring the release time of the target data and comparing the configuration time with the release time.
And the deleting module is used for deleting the target data of which the issuing time is before the configuration time.
For specific limitations of the wind control protocol early warning device, reference may be made to the above limitations on the wind control protocol early warning method, which is not described herein again. All modules in the wind control protocol early warning device can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the wind control protocol data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a wind control protocol early warning method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: acquiring a protocol keyword of a configured wind control protocol; inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords; selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword; acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of target data according to the risk calculation model, and comparing the target risk index with the standard risk index; and when the risk index is greater than the standard risk index, outputting early warning information of the wind control protocol.
In one embodiment, the selecting a target web page from the group of web pages according to the protocol keyword and crawling target data from the target web page according to the protocol keyword, which are involved in the processor executing the computer program, may include: acquiring classification logic of preset protocol keywords, and extracting a first protocol keyword and a second protocol keyword from the protocol keywords according to the classification logic; extracting a webpage label of a webpage to be compared in the webpage group, and matching the first protocol keyword with the webpage label; taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as a target webpage; and crawling target data matched with the second protocol keywords from the target webpage according to the second protocol keywords.
In one embodiment, after the logic for obtaining the predetermined protocol keyword is implemented when the processor executes the computer program, the method may further include: obtaining the similar phrases corresponding to the second protocol keywords according to the classification logic; crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword, wherein the crawling comprises the following steps: crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword; crawling second subdata corresponding to a second protocol keyword from the target webpage according to the similar phrases; and taking the first sub-data and the second sub-data as target data.
In one embodiment, calculating a target risk indicator for target data from a risk calculation model involved in executing the computer program by the processor may include: counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data; extracting scoring features corresponding to the risk calculation model from the target data; calculating a first score according to the occurrence frequency and the scoring characteristics, and calculating a second score according to the occurrence time and the scoring characteristics; and acquiring the weight characteristics corresponding to the risk calculation model, calculating the total score of the first score and the second score according to the weight characteristics, and obtaining the target risk index according to the total score.
In one embodiment, the processor, when executing the computer program, may further perform the following operation after the occurrence frequency of the statistical protocol keyword in the target data: detecting whether the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency or not; and when the occurrence frequency of the protocol keywords in the target data exceeds the preset warning frequency, outputting high-risk alarm information of the wind control protocol.
In one embodiment, the crawling of the target data from the target web page according to the protocol keyword by the processor when executing the computer program may further include: acquiring configuration time of a wind control protocol; acquiring the release time of the target data, and comparing the configuration time with the release time; and deleting the target data of which the release time is before the configuration time.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a protocol keyword of a configured wind control protocol; inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords; selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword; acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of target data according to the risk calculation model, and comparing the target risk index with the standard risk index; and when the risk index is greater than the standard risk index, outputting early warning information of the wind control protocol.
In one embodiment, the computer program when executed by the processor to select a target web page from the group of web pages based on the protocol keyword and to crawl target data from the target web page based on the protocol keyword may include: acquiring classification logic of preset protocol keywords, and extracting a first protocol keyword and a second protocol keyword from the protocol keywords according to the classification logic; extracting a webpage label of a webpage to be compared in the webpage group, and matching the first protocol keyword with the webpage label; taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as a target webpage; and crawling target data matched with the second protocol keywords from the target webpage according to the second protocol keywords.
In one embodiment, after the logic for obtaining the predetermined protocol keyword is implemented when the computer program is executed by the processor, the method may further include: obtaining the similar phrases corresponding to the second protocol keywords according to the classification logic; crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword, wherein the crawling comprises the following steps: crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword; crawling second subdata corresponding to a second protocol keyword from the target webpage according to the similar phrases; and taking the first sub-data and the second sub-data as target data.
In one embodiment, the computing of a target risk indicator for target data from a risk calculation model, involved in the execution of the computer program by the processor, may include: counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data; extracting scoring features corresponding to the risk calculation model from the target data; calculating a first score according to the occurrence frequency and the scoring characteristics, and calculating a second score according to the occurrence time and the scoring characteristics; and acquiring the weight characteristics corresponding to the risk calculation model, calculating the total score of the first score and the second score according to the weight characteristics, and obtaining the target risk index according to the total score.
In one embodiment, the statistical protocol key frequency of occurrence in the target data implemented when the computer program is executed by the processor may further include: detecting whether the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency or not; and when the occurrence frequency of the protocol keywords in the target data exceeds the preset warning frequency, outputting high-risk alarm information of the wind control protocol.
In one embodiment, the computer program when executed by the processor, after crawling the target data from the target web page according to the protocol keyword, may further include: acquiring configuration time of a wind control protocol; acquiring the release time of the target data, and comparing the configuration time with the release time; and deleting the target data of which the release time is before the configuration time.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for early warning of a wind control protocol, the method comprising:
acquiring a protocol keyword of a configured wind control protocol;
inquiring webpage grouping keywords, and inquiring webpage grouping according to the protocol keywords and the webpage grouping keywords;
selecting a target webpage from the webpage group according to the protocol keyword, and crawling target data from the target webpage according to the protocol keyword;
acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of the target data according to the risk calculation model, and comparing the target risk index with the standard risk index;
and when the risk index is larger than the standard risk index, outputting early warning information of the wind control protocol.
2. The method of claim 1, wherein selecting a target web page from the group of web pages according to the agreement key and crawling target data from the target web page according to the agreement key comprises:
acquiring classification logic of preset protocol keywords, and extracting a first protocol keyword and a second protocol keyword from the protocol keywords according to the classification logic;
extracting a webpage label of a webpage to be compared in the webpage group, and matching the first protocol keyword with the webpage label;
taking the webpage to be compared, of which the first protocol keyword is successfully matched with the webpage label, as a target webpage;
and crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword.
3. The method of claim 2, wherein after the obtaining the classification logic of the preset protocol keyword, the method further comprises:
obtaining similar phrases corresponding to the second protocol keywords according to the classification logic;
according to the second protocol keyword, crawling target data matched with the second protocol keyword from the target webpage, wherein the crawling comprises the following steps:
crawling first subdata corresponding to the second protocol keyword from the target webpage according to the second protocol keyword;
crawling second subdata corresponding to the second protocol keyword from the target webpage according to the similar phrases;
and taking the first subdata and the second subdata as target data.
4. The method of claim 1, wherein said calculating a target risk indicator for the target data from the risk calculation model comprises:
counting the occurrence frequency of the protocol keywords in the target data and the occurrence time of the protocol keywords in the target data;
extracting scoring features corresponding to the risk calculation model from the target data;
calculating a first score according to the occurrence frequency and the scoring characteristics, and calculating a second score according to the occurrence time and the scoring characteristics;
and acquiring a weight characteristic corresponding to the risk calculation model, calculating a total score of the first score and the second score according to the weight characteristic, and acquiring a target risk index according to the total score.
5. The method according to claim 4, wherein after said counting the frequency of occurrence of the protocol keyword in the target data, further comprising:
detecting whether the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency or not;
and when the occurrence frequency of the protocol keywords in the target data exceeds a preset warning frequency, outputting high-risk alarm information of the wind control protocol.
6. The method of claim 1, wherein after crawling target data from the target web page according to the protocol keyword, the method further comprises:
acquiring the configuration time of the wind control protocol;
acquiring the release time of the target data, and comparing the configuration time with the release time;
deleting the target data of which the release time is before the configuration time.
7. A wind control protocol early warning device, characterized in that, the device includes:
the acquisition module is used for acquiring the protocol key words of the configured wind control protocol;
the query module is used for querying the webpage grouping key words and querying the webpage grouping according to the protocol key words and the webpage grouping key words;
the selection module is used for selecting a target webpage from the webpage group according to the protocol keyword and crawling target data from the target webpage according to the protocol keyword;
the calculation module is used for acquiring a preset risk calculation model and a standard risk index, calculating a target risk index of the target data according to the risk calculation model, and comparing the target risk index with the standard risk index;
and the output module is used for outputting the early warning information of the wind control protocol when the risk index is greater than the standard risk index.
8. The apparatus of claim 7, wherein the apparatus comprises:
the second acquisition module is used for acquiring the classification logic of preset protocol keywords and extracting the first protocol keywords and the second protocol keywords from the protocol keywords according to the classification logic;
the extraction module is used for extracting the webpage labels of the webpages to be compared in the webpage groups and matching the first protocol keywords with the webpage labels;
the target webpage determining module is used for taking the webpage to be compared, which is successfully matched with the first protocol keyword and the webpage label, as a target webpage;
and the crawling module is used for crawling target data matched with the second protocol keyword from the target webpage according to the second protocol keyword.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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