{"title":"揭示数据关系以解决欺诈问题","authors":"A. Frame","doi":"10.12968/s1361-3723(22)70588-x","DOIUrl":null,"url":null,"abstract":"Graph technology has reached a point of maturity where it can run off-the-shelf algorithms over massive networks to discover previously undetectable patterns. These algorithms also permit security professionals to take the necessary actions to render systems more robust and secure. As a result, financial and government institutions are making increasing use of graph database technology to tackle fraud.","PeriodicalId":35636,"journal":{"name":"Computer Fraud and Security","volume":"426 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering data relationships to tackle fraud\",\"authors\":\"A. Frame\",\"doi\":\"10.12968/s1361-3723(22)70588-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph technology has reached a point of maturity where it can run off-the-shelf algorithms over massive networks to discover previously undetectable patterns. These algorithms also permit security professionals to take the necessary actions to render systems more robust and secure. As a result, financial and government institutions are making increasing use of graph database technology to tackle fraud.\",\"PeriodicalId\":35636,\"journal\":{\"name\":\"Computer Fraud and Security\",\"volume\":\"426 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Fraud and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/s1361-3723(22)70588-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Fraud and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/s1361-3723(22)70588-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
Graph technology has reached a point of maturity where it can run off-the-shelf algorithms over massive networks to discover previously undetectable patterns. These algorithms also permit security professionals to take the necessary actions to render systems more robust and secure. As a result, financial and government institutions are making increasing use of graph database technology to tackle fraud.
期刊介绍:
Computer Fraud & Security has grown with the fast-moving information technology industry and has earned a reputation for editorial excellence with IT security practitioners around the world. Every month Computer Fraud & Security enables you to see the threats to your IT systems before they become a problem. It focuses on providing practical, usable information to effectively manage and control computer and information security within commercial organizations.