Technologies to Defeat Fraudulent Schemes Related to Email Requests Export

@misc{citeulike:3749396, abstract = {Online criminals have adapted traditional snail mail and door-to-door fraudulent schemes into electronic form. Increasingly, such schemes target an individual\&\#039;s personal email, where they mingle among, and are masked by, honest communications. The targeting and conniving nature of these schemes are an infringement upon an individual\&\#039;s personal privacy, as well as a threat to personal safety. We argue that state-of-the-art spam filtering systems fail to capture fraudulent intent hidden in the text of e-mails, but demonstrate how more robust systems can be engineered starting from existing AI tools. We illustrate how to design a learning system capable of accurately identifying the fraudulent indent within an e-mail in order to tackle, for example, the advance fee fraud scam. Further, we propose}, author = {Airoldi, Edoardo and Malin, Bradley and Sweeney, Latanya}, citeulike-article-id = {3749396}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.8656}, keywords = {fraud, short\_document, spam}, posted-at = {2008-12-05 03:39:20}, priority = {2}, title = {Technologies to Defeat Fraudulent Schemes Related to Email Requests}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.8656} }

TY - ELEC ID - citeulike:3749396 L3 - citeulike-article-id:3749396 N2 - Online criminals have adapted traditional snail mail and door-to-door fraudulent schemes into electronic form. Increasingly, such schemes target an individual's personal email, where they mingle among, and are masked by, honest communications. The targeting and conniving nature of these schemes are an infringement upon an individual's personal privacy, as well as a threat to personal safety. We argue that state-of-the-art spam filtering systems fail to capture fraudulent intent hidden in the text of e-mails, but demonstrate how more robust systems can be engineered starting from existing AI tools. We illustrate how to design a learning system capable of accurately identifying the fraudulent indent within an e-mail in order to tackle, for example, the advance fee fraud scam. Further, we propose TI - Technologies to Defeat Fraudulent Schemes Related to Email Requests KW - fraud KW - short_document KW - spam AU - Airoldi, Edoardo AU - Malin, Bradley AU - Sweeney, Latanya UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.8656 ER -