CN110362729A - Non- restocking risk APP search method based on search engine - Google Patents
Non- restocking risk APP search method based on search engine Download PDFInfo
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- CN110362729A CN110362729A CN201910595002.2A CN201910595002A CN110362729A CN 110362729 A CN110362729 A CN 110362729A CN 201910595002 A CN201910595002 A CN 201910595002A CN 110362729 A CN110362729 A CN 110362729A
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- Prior art keywords
- restocking
- search engine
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- search
- risk
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to the non-restocking risk APP search methods based on search engine, the download address of the wired upper software installation packet of what searched engine crawled is set out by way of search engine search key, the download address of domestic and international major all software installation packets using store is crawled by crawler, the software installation packet download address of the software installation packet download address and applications store that crawl to search engine is compared, it filters out not in the download address of the software installation packet of application store restocking, storage is into database for retrieval.The present invention by search engine it is powerful crawl function, in combination with the main data for applying store both at home and abroad, it can be found that a large amount of non-restocking APP applications after screening compares, the risk APP of non-restocking from global angle to all exposures on the internet is had found and is retrieved, the non-restocking risk APP for helping to expose on the internet is collected arrangement, can provide Risk-warning, risk discovery and supervision.
Description
Technical field
The present invention relates to the technical field of electric Digital data processing, in particular to a kind of non-restocking wind based on search engine
Dangerous APP search method.
Background technique
With the rise of intelligent terminal, there is largely non-restocking APP in internet, wherein being partially because test needs
It wants and is hung on internet and is tested for people, however, most of is then to be related to the violations content such as gambling, pornographic due to its content,
It can not be downloaded so it is directly placed in internet by network operator for people by the examination in the store APP.This kind of APP passes through routine
Search be difficult to find, and then for supervision or risk discovery bring certain difficulty.
The scheme of the prior art is difficult to find the non-restocking risk APP of this kind of exposure on the internet, typically logical
It crosses the intelligent terminal itself when installing APP and carries out indicating risk, such as prompt " APP for installing unknown source ", this kind of prompt pole holds
Easily mounted person ignores, and enters formal installation after clicking directly on confirmation, for supervision and Risk Monitoring angle, is difficult from complete
The risk APP of non-restocking is had found in office.
Summary of the invention
The present invention solves in the prior art, for supervision and Risk Monitoring angle, is difficult from the overall situation to non-restocking
Risk APP the problem of being found, provide a kind of non-restocking risk APP search method based on search engine of optimization.
The technical scheme adopted by the invention is that a kind of non-restocking risk APP search method based on search engine, described
Method the following steps are included:
Step 1: obtaining the data in known applications store, crawl the download address using software installation packets all in store；
Step 2: by search engine, the download address of the software installation packet is obtained in the method for search key；
Step 3: comparing the download address of step 1 and step 2, filter out the risk APP of non-restocking；
Step 4: the risk APP of the non-restocking filtered out is retrieved.
Preferably, the step 1 the following steps are included:
Step 1.1: establishing for assigning rule, the first WEB server for starting with terminating of control crawler to crawlers；
Step 1.2: the data for obtaining known applications store are arranged in the first WEB server for each known applications store
The rule and target of crawler；
Step 1.3: crawler task being started by the first WEB server, the target of rule settings is crawled；
Step 1.4: the data that crawler crawls being parsed and are stored in database.
Preferably, in the step 1.4, to the data that crawler crawls parse to obtain the title of software installation packet, hash value,
Developer's information and version number.
Preferably, the step 2 the following steps are included:
Step 2.1: establish for search engine assign search key instruction, the beginning of command deployment task with terminate the
Two WEB servers；
Step 2.2: search key and search engine are set in the second WEB server；
Step 2.3: search mission being started by the second WEB server, starts the search mission of search engine；
Step 2.4: the data that search engine searches being parsed and are stored in database.
Preferably, in the step 2.4, to the data that search engine searches parse to obtain software installation packet title,
Hash value, developer's information and version number.
Preferably, the step 3 the following steps are included:
Step 3.1: establishing for assigning the rule, the beginning for controlling comparison task and the knot that extract key message for comparison task
The third WEB server of beam；
Step 3.2: being arranged in third WEB server and obtained from the download address of the software installation packet crawled in search engine
The rule of software installation package informatin；The software installation packet downloading ground crawled from application store is set in third WEB server
The rule of software installation package informatin is obtained in location；
Step 3.3: by rule, extracting the software installation packet in the data crawled using store and search engine respectively；It is logical
The method for crossing participle, is compared based on preset comparison principle；
Step 3.4: if being determined as difference based on preset comparison principle, then it is assumed that be the risk APP of non-restocking, carry out next
Step, otherwise, return step 3.2；
Step 3.5: the risk APP that obtained non-restocking is screened after comparison analysis is saved in database for retrieval.
Preferably, in the step 3.3, title, hash value, developer's information and the version number for extracting software installation packet are used
In comparison.
Preferably, the preset comparison principle includes identical comparison principle, similarity comparison principle, close comparison principle.
Preferably, the preset comparison principle the following steps are included:
Step 3.3.1: being based on identical comparison principle, compare the hash value of two software installation packets, if hash value is identical, two
Software installation packet is identical, return step 3.2, otherwise, carries out in next step；
Step 3.3.2: it is based on similarity comparison principle, developer's information and version number of two software installation packets are compared, if similar
Degree meets preset value, then return step 3.2, otherwise, carries out in next step；
Step 3.3.3: being based on close comparison principle, segment to the title of two software installation packets, if participle similarity is full
Sufficient preset value, then otherwise return step 3.2 carry out step 3.4.
Preferably, the step 4 the following steps are included:
Step 4.1: establishing the 4th WEB server for showing the risk APP of the non-restocking obtained by above step；
Step 4.2: input keyword, retrieval meets the APP of condition from the database of the list for the risk APP for having non-restocking
Information；
Step 4.3: showing result.
The present invention provides a kind of non-restocking risk APP search methods based on search engine of optimization, are drawn by search
The download address of the wired upper software installation packet of what searched engine crawled is set out in the mode for holding up search key, leads to simultaneously
It crosses crawler to crawl by the download address of domestic and international major all software installation packets using store, be drawn by comparing analysis
It holds up, the software installation packet download address of the software installation packet download address and applications store that crawl to search engine is compared,
It filters out not in the download address of the software installation packet of application store restocking, storage is into database for retrieval.
The present invention by search engine it is powerful crawl function, in combination with the main data for applying store both at home and abroad, sieve
It can be found that a large amount of non-restocking APP application, the non-restocking from global angle to all exposures on the internet after choosing compares
Risk APP found and retrieved, the non-restocking risk APP for helping to expose on the internet is collected arrangement, can
To provide Risk-warning, risk discovery and supervision.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
The present invention is described in further detail below with reference to embodiment, but protection scope of the present invention is not limited to
This.
The non-restocking risk APP search method based on search engine that the present invention relates to a kind of, passes through search engine, crawler skill
Non- restocking risk APP is integrated by art and the combination for comparing analytical technology can search in database.
In the present invention, the data that search engine all crawls magnanimity on the internet daily are inquired for people, for being exposed to
All information on internet, including various download links crawl, and search engine both provides advanced inquiry language
Method, can more detailed given query content.Search engine includes but is not limited to Baidu, Google.
In the present invention, crawler is the program for automatically extracting webpage, is search engine support grid page above and below WWW, is search
The important composition of engine obtains the URL on Initial page generally since the URL of one or several Initial pages, in crawl net
During page, new URL is constantly extracted from current page and is put into queue, certain stop condition until meeting system.This
Place mainly crawls data from known applications store by it.
In the present invention, the URL of crawler system is drilled through, resolution rules can be customized according to target difference, is directed to later
Each different application market, which is set, to be write initial URL and resolution rules and is drilled through after crawler frame crawls initial URL according to URL
Rule carries out new URL discovery, and the result for continuing to request, while arriving according to resolution rules analysis request.Crawler system can be with
Demand self-setting according to those skilled in the art.
In the present invention, compares analytical technology and refer to by setting certain rule, need from least two into comparison
Rong Zhong obtains required key message, is analyzed by participle technique key message, analyze it is including but not limited to identical,
Close, similarity analysis.
In the present invention, it can be arranged according to the actual demand of those skilled in the art and compare analysis engine, from database
The software installation package informatin that acquisition search engine and crawler crawl respectively, progress phase same sex comparison first, that is, compare two
The hash value of software installation packet, it is determined whether be the same APP, if it is different, then carrying out similitude comparison, that is, compare soft
The developer's information and version of part installation kit, if developer's information is identical, version is different, then it is assumed that and it is similar APP, if
When similitude compares also different, then the title of two software installation packets is compared, similar software is considered if title is close
Installation kit is compared by three-wheel, if also difference, then it is assumed that the installation kit that search engine searches is not go up application market
Risk APP is possible to illegal etc the APP that exactly gambles.
It the described method comprises the following steps.
Step 1: obtaining the data in known applications store, crawl the download address using software installation packets all in store.
The step 1 the following steps are included:
Step 1.1: establishing for assigning rule, the first WEB server for starting with terminating of control crawler to crawlers；
Step 1.2: the data for obtaining known applications store are arranged in the first WEB server for each known applications store
The rule and target of crawler；
Step 1.3: crawler task being started by the first WEB server, the target of rule settings is crawled；
Step 1.4: the data that crawler crawls being parsed and are stored in database.
In the step 1.4, the data that crawler crawls are parsed to obtain title, the hash value, developer of software installation packet
Information and version number.
In the present invention, the WEB service environment of the WEB server of all foundation is that Java and MySQL is combined.
In the present invention, it is known that apply store using the APP that store is mainly domestic and international mainstream, need according to each store
Feature setting crawls rule accordingly.
Step 2: by search engine, the download address of the software installation packet is obtained in the method for search key.
The step 2 the following steps are included:
Step 2.1: establish for search engine assign search key instruction, the beginning of command deployment task with terminate the
Two WEB servers；
Step 2.2: search key and search engine are set in the second WEB server；
Step 2.3: search mission being started by the second WEB server, starts the search mission of search engine；
Step 2.4: the data that search engine searches being parsed and are stored in database.
In the step 2.4, to the data that search engine searches parse to obtain the title of software installation packet, hash value,
Developer's information and version number.
In the present invention, building for the second WEB server is carried out mainly for domestic and international mainstream search engine, such as Baidu, Google
The characteristics of standing and utilize, and needing according to each search engine, is arranged corresponding search key.
Step 3: comparing the download address of step 1 and step 2, filter out the risk APP of non-restocking.
The step 3 the following steps are included:
Step 3.1: establishing for assigning the rule, the beginning for controlling comparison task and the knot that extract key message for comparison task
The third WEB server of beam；
Step 3.2: being arranged in third WEB server and obtained from the download address of the software installation packet crawled in search engine
The rule of software installation package informatin；The software installation packet downloading ground crawled from application store is set in third WEB server
The rule of software installation package informatin is obtained in location；
Step 3.3: extracting the software installation packet in the data crawled using store and search engine respectively；Pass through the side of participle
Method is compared based on preset comparison principle；
In the step 3.3, title, hash value, developer's information and the version number of software installation packet are extracted for comparing.
The preset comparison principle the following steps are included:
Step 3.3.1: being based on identical comparison principle, compare the hash value of two software installation packets, if hash value is identical, two
Software installation packet is identical, return step 3.2, otherwise, carries out in next step；
Step 3.3.2: it is based on similarity comparison principle, developer's information and version number of two software installation packets are compared, if similar
Degree meets preset value, then return step 3.2, otherwise, carries out in next step；
Step 3.3.3: being based on close comparison principle, segment to the title of two software installation packets, if participle similarity is full
Sufficient preset value, then otherwise return step 3.2 carry out step 3.4.
The preset comparison principle includes identical comparison principle, similarity comparison principle, close comparison principle.
Step 3.4: if being determined as difference based on preset comparison principle, then it is assumed that be the risk APP of non-restocking, carry out down
One step, otherwise, return step 3.2；
Step 3.5: the risk APP that obtained non-restocking is screened after comparison analysis is saved in database for retrieval.
In the present invention, to the information of software installation packet to be compared, by the method for participle, according to identical, similar, close
Principle be compared, the APP of non-restocking is considered if different.
Step 4: the risk APP of the non-restocking filtered out is retrieved.
The step 4 the following steps are included:
Step 4.1: establishing the 4th WEB server for showing the risk APP of the non-restocking obtained by above step；
Step 4.2: input keyword, retrieval meets the APP of condition from the database of the list for the risk APP for having non-restocking
Information；
Step 4.3: showing result.
It is wired soft that the institute that searched engine crawled is set out in the present invention by way of search engine search key
The download address of part installation kit, while passing through crawler for the download address of domestic and international major all software installation packets using store
It crawls, by comparing analysis engine, the software of the software installation packet download address for crawl search engine and application store
Installation kit download address is compared, and filters out not in the download address of the software installation packet of application store restocking, storage to number
According in library for retrieval.
The present invention by search engine it is powerful crawl function, in combination with the main data for applying store both at home and abroad, sieve
It can be found that a large amount of non-restocking APP application, the non-restocking from global angle to all exposures on the internet after choosing compares
Risk APP found and retrieved, the non-restocking risk APP for helping to expose on the internet is collected arrangement, can
To provide Risk-warning, risk discovery and supervision.
Claims (10)
1. a kind of non-restocking risk APP search method based on search engine, it is characterised in that: the method includes following steps
It is rapid:
Step 1: obtaining the data in known applications store, crawl the download address using software installation packets all in store；
Step 2: by search engine, the download address of the software installation packet is obtained in the method for search key；
Step 3: comparing the download address of step 1 and step 2, filter out the risk APP of non-restocking；
Step 4: the risk APP of the non-restocking filtered out is retrieved.
2. a kind of non-restocking risk APP search method based on search engine according to claim 1, it is characterised in that:
The step 1 the following steps are included:
Step 1.1: establishing for assigning rule, the first WEB server for starting with terminating of control crawler to crawlers；
Step 1.2: the data for obtaining known applications store are arranged in the first WEB server for each known applications store
The rule and target of crawler；
Step 1.3: crawler task being started by the first WEB server, the target of rule settings is crawled；
Step 1.4: the data that crawler crawls being parsed and are stored in database.
3. a kind of non-restocking risk APP search method based on search engine according to claim 2, it is characterised in that:
In the step 1.4, the data that crawler crawls are parsed to obtain title, hash value, developer's information and the version of software installation packet
This number.
4. a kind of non-restocking risk APP search method based on search engine according to claim 1, it is characterised in that:
The step 2 the following steps are included:
Step 2.1: establish for search engine assign search key instruction, the beginning of command deployment task with terminate the
Two WEB servers；
Step 2.2: search key and search engine are set in the second WEB server；
Step 2.3: search mission being started by the second WEB server, starts the search mission of search engine；
Step 2.4: the data that search engine searches being parsed and are stored in database.
5. a kind of non-restocking risk APP search method based on search engine according to claim 4, it is characterised in that:
In the step 2.4, the data that search engine searches are parsed to obtain title, the hash value, developer's letter of software installation packet
Breath and version number.
6. a kind of non-restocking risk APP search method based on search engine according to claim 1, it is characterised in that:
The step 3 the following steps are included:
Step 3.1: establishing for assigning the rule, the beginning for controlling comparison task and the knot that extract key message for comparison task
The third WEB server of beam；
Step 3.2: being arranged in third WEB server and obtained from the download address of the software installation packet crawled in search engine
The rule of software installation package informatin；The software installation packet downloading ground crawled from application store is set in third WEB server
The rule of software installation package informatin is obtained in location；
Step 3.3: by rule, extracting the software installation packet in the data crawled using store and search engine respectively；It is logical
The method for crossing participle, is compared based on preset comparison principle；
Step 3.4: if being determined as difference based on preset comparison principle, then it is assumed that be the risk APP of non-restocking, carry out next
Step, otherwise, return step 3.2；
Step 3.5: the risk APP that obtained non-restocking is screened after comparison analysis is saved in database for retrieval.
7. a kind of non-restocking risk APP search method based on search engine according to claim 6, it is characterised in that:
In the step 3.3, title, hash value, developer's information and the version number of software installation packet are extracted for comparing.
8. a kind of non-restocking risk APP search method based on search engine according to claim 6, it is characterised in that:
The preset comparison principle includes identical comparison principle, similarity comparison principle, close comparison principle.
9. a kind of non-restocking risk APP search method based on search engine according to claim 8, it is characterised in that:
The preset comparison principle the following steps are included:
Step 3.3.1: being based on identical comparison principle, compare the hash value of two software installation packets, if hash value is identical, two
Software installation packet is identical, return step 3.2, otherwise, carries out in next step；
Step 3.3.2: it is based on similarity comparison principle, developer's information and version number of two software installation packets are compared, if similar
Degree meets preset value, then return step 3.2, otherwise, carries out in next step；
Step 3.3.3: being based on close comparison principle, segment to the title of two software installation packets, if participle similarity is full
Sufficient preset value, then otherwise return step 3.2 carry out step 3.4.
10. a kind of non-restocking risk APP search method based on search engine according to claim 1, it is characterised in that:
The step 4 the following steps are included:
Step 4.1: establishing the 4th WEB server for showing the risk APP of the non-restocking obtained by above step；
Step 4.2: input keyword, retrieval meets the APP of condition from the database of the list for the risk APP for having non-restocking
Information；
Step 4.3: showing result.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910595002.2A CN110362729A (en) | 2019-07-03 | 2019-07-03 | Non- restocking risk APP search method based on search engine |
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| CN201910595002.2A CN110362729A (en) | 2019-07-03 | 2019-07-03 | Non- restocking risk APP search method based on search engine |
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