{"title":"运用欺诈计划表示、推理和预测欺诈","authors":"John K. C. Kingston","doi":"10.1109/RCIS.2017.7956528","DOIUrl":null,"url":null,"abstract":"The efforts of fraudsters to think up new ways of committing fraud, and of law enforcers to detect and prosecute those fraud, often feel like a long-running competition. Yet all too often, law enforcement is accused of falling far behind the fraudsters, especially in situations where the responsibility for detecting frauds falls on non-specialists in security or on the general public.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Representing, reasoning and predicting fraud using fraud plans\",\"authors\":\"John K. C. Kingston\",\"doi\":\"10.1109/RCIS.2017.7956528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The efforts of fraudsters to think up new ways of committing fraud, and of law enforcers to detect and prosecute those fraud, often feel like a long-running competition. Yet all too often, law enforcement is accused of falling far behind the fraudsters, especially in situations where the responsibility for detecting frauds falls on non-specialists in security or on the general public.\",\"PeriodicalId\":193156,\"journal\":{\"name\":\"2017 11th International Conference on Research Challenges in Information Science (RCIS)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 11th International Conference on Research Challenges in Information Science (RCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2017.7956528\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2017.7956528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representing, reasoning and predicting fraud using fraud plans
The efforts of fraudsters to think up new ways of committing fraud, and of law enforcers to detect and prosecute those fraud, often feel like a long-running competition. Yet all too often, law enforcement is accused of falling far behind the fraudsters, especially in situations where the responsibility for detecting frauds falls on non-specialists in security or on the general public.