Taisiia Garkava, Asier Moneva, E. Rutger Leukfeldt
{"title":"Telegram 上的被盗数据市场:犯罪脚本分析和情景犯罪预防措施","authors":"Taisiia Garkava, Asier Moneva, E. Rutger Leukfeldt","doi":"10.1007/s12117-024-09532-6","DOIUrl":null,"url":null,"abstract":"<p>Illicit data markets have emerged on Telegram, a popular online instant messaging application, bringing together thousands of users worldwide in an unregulated exchange of sensitive data. These markets operate through vendors who offer enormous quantities of such data, from personally identifiable information to financial data, while potential customers bid for these valuable assets. This study describes how Telegram data markets operate and discusses what interventions could be used to disrupt them. Using crime script analysis, we observed 16 Telegram meeting places encompassing public and private channels and groups. We obtained information about how the different meeting places function, what are their inside rules, and what tactics are employed by users to advertise and trade data. Based on the crime script, we suggest four feasible situational crime prevention measures to help disrupt these markets. These include taking down the marketplaces, reporting them, spamming and flooding techniques, and using warning banners.</p>","PeriodicalId":51733,"journal":{"name":"Trends in Organized Crime","volume":"45 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stolen data markets on Telegram: a crime script analysis and situational crime prevention measures\",\"authors\":\"Taisiia Garkava, Asier Moneva, E. Rutger Leukfeldt\",\"doi\":\"10.1007/s12117-024-09532-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Illicit data markets have emerged on Telegram, a popular online instant messaging application, bringing together thousands of users worldwide in an unregulated exchange of sensitive data. These markets operate through vendors who offer enormous quantities of such data, from personally identifiable information to financial data, while potential customers bid for these valuable assets. This study describes how Telegram data markets operate and discusses what interventions could be used to disrupt them. Using crime script analysis, we observed 16 Telegram meeting places encompassing public and private channels and groups. We obtained information about how the different meeting places function, what are their inside rules, and what tactics are employed by users to advertise and trade data. Based on the crime script, we suggest four feasible situational crime prevention measures to help disrupt these markets. These include taking down the marketplaces, reporting them, spamming and flooding techniques, and using warning banners.</p>\",\"PeriodicalId\":51733,\"journal\":{\"name\":\"Trends in Organized Crime\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Organized Crime\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1007/s12117-024-09532-6\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CRIMINOLOGY & PENOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Organized Crime","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s12117-024-09532-6","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
Stolen data markets on Telegram: a crime script analysis and situational crime prevention measures
Illicit data markets have emerged on Telegram, a popular online instant messaging application, bringing together thousands of users worldwide in an unregulated exchange of sensitive data. These markets operate through vendors who offer enormous quantities of such data, from personally identifiable information to financial data, while potential customers bid for these valuable assets. This study describes how Telegram data markets operate and discusses what interventions could be used to disrupt them. Using crime script analysis, we observed 16 Telegram meeting places encompassing public and private channels and groups. We obtained information about how the different meeting places function, what are their inside rules, and what tactics are employed by users to advertise and trade data. Based on the crime script, we suggest four feasible situational crime prevention measures to help disrupt these markets. These include taking down the marketplaces, reporting them, spamming and flooding techniques, and using warning banners.
期刊介绍:
Trends in Organized Crime offers a composite of analyses and syntheses from a variety of information sources to serve the interests of both practitioners and policy makers, as well as the academic community. It is both a stimulus to and a forum for more rigorous empirical research on organized crime.
Trends in Organized Crime publishes peer-reviewed, original research articles and excerpts from significant governmental reports. It also offers reviews of major new books and presents analyses and commentary on current issues in organized crime.
Trends in Organized Crime is published in association with the International Association for the Study of Organized Crime (IASOC). For more information on IASOC please visit http://www.iasoc.net/