Anti-cheating method based on time-frequency analysis
The invention discloses an anti-cheating method based on time-frequency analysis. The method comprises the following steps: acquiring a relationship between a media request number and request time inwebsite advertisement flow log historical data, by media, according to a request number-time distribu...
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| creator | ZHAO YUDI HUANG KAIRUI DUAN SIJIU SHI KAN |
| description | The invention discloses an anti-cheating method based on time-frequency analysis. The method comprises the following steps: acquiring a relationship between a media request number and request time inwebsite advertisement flow log historical data, by media, according to a request number-time distribution time-domain plot, dividing the relationship into different groups according to the similaritydegree, carrying out Fourier transform on the time domain data of the media dimension, observing whether the frequency domains in different media classes are thermal noise or not or a series of ordered and regular frequencies mingled in the thermal noise, selecting media with equal-interval periodic characteristics in the frequency domain, by the difference of the frequency domain graphs, furtherdistinguishing websites with normal requests and websites with abnormal requests from the same kind of media, carrying out further subdivision analysis on the abnormal websites, searching cheating components in the abnormal web |
| format | Patent |
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The method comprises the following steps: acquiring a relationship between a media request number and request time inwebsite advertisement flow log historical data, by media, according to a request number-time distribution time-domain plot, dividing the relationship into different groups according to the similaritydegree, carrying out Fourier transform on the time domain data of the media dimension, observing whether the frequency domains in different media classes are thermal noise or not or a series of ordered and regular frequencies mingled in the thermal noise, selecting media with equal-interval periodic characteristics in the frequency domain, by the difference of the frequency domain graphs, furtherdistinguishing websites with normal requests and websites with abnormal requests from the same kind of media, carrying out further subdivision analysis on the abnormal websites, searching cheating components in the abnormal web</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200616&DB=EPODOC&CC=CN&NR=111292139A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200616&DB=EPODOC&CC=CN&NR=111292139A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO YUDI</creatorcontrib><creatorcontrib>HUANG KAIRUI</creatorcontrib><creatorcontrib>DUAN SIJIU</creatorcontrib><creatorcontrib>SHI KAN</creatorcontrib><title>Anti-cheating method based on time-frequency analysis</title><description>The invention discloses an anti-cheating method based on time-frequency analysis. 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The method comprises the following steps: acquiring a relationship between a media request number and request time inwebsite advertisement flow log historical data, by media, according to a request number-time distribution time-domain plot, dividing the relationship into different groups according to the similaritydegree, carrying out Fourier transform on the time domain data of the media dimension, observing whether the frequency domains in different media classes are thermal noise or not or a series of ordered and regular frequencies mingled in the thermal noise, selecting media with equal-interval periodic characteristics in the frequency domain, by the difference of the frequency domain graphs, furtherdistinguishing websites with normal requests and websites with abnormal requests from the same kind of media, carrying out further subdivision analysis on the abnormal websites, searching cheating components in the abnormal web</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Anti-cheating method based on time-frequency analysis |
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