{"title":"在安装流动应用程序时，欺诈者指纹的形成方法","authors":"T. Polhul, A. Yarovyi","doi":"10.1109/IDAACS.2019.8924369","DOIUrl":null,"url":null,"abstract":"This study aimed to develop a method of fraudster fingerprint formation during mobile application installations, based on a fuzzy model for fraudster fingerprint formation and algorithms of its use for fraudster fingerprint formation. This method allows determining the reason of labeling user by a particular class during fraud detection. The use of the developed method in fraud detection tasks makes it possible to correctly identify 99.56% of users in general and 80.43% of correctly determined fraudsters in particular and speed up the fraud detection process.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method of Fraudster Fingerprint Formation During Mobile Application Installations\",\"authors\":\"T. Polhul, A. Yarovyi\",\"doi\":\"10.1109/IDAACS.2019.8924369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to develop a method of fraudster fingerprint formation during mobile application installations, based on a fuzzy model for fraudster fingerprint formation and algorithms of its use for fraudster fingerprint formation. This method allows determining the reason of labeling user by a particular class during fraud detection. The use of the developed method in fraud detection tasks makes it possible to correctly identify 99.56% of users in general and 80.43% of correctly determined fraudsters in particular and speed up the fraud detection process.\",\"PeriodicalId\":415006,\"journal\":{\"name\":\"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)\",\"volume\":\"254 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2019.8924369\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2019.8924369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method of Fraudster Fingerprint Formation During Mobile Application Installations
This study aimed to develop a method of fraudster fingerprint formation during mobile application installations, based on a fuzzy model for fraudster fingerprint formation and algorithms of its use for fraudster fingerprint formation. This method allows determining the reason of labeling user by a particular class during fraud detection. The use of the developed method in fraud detection tasks makes it possible to correctly identify 99.56% of users in general and 80.43% of correctly determined fraudsters in particular and speed up the fraud detection process.
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