Modeling And Analysis Of Identity Threat Behaviors Through Text Mining Of Identity Theft Stories Pdf

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JavaScript is disabled for your browser. Some features of this site may not work without it. Mining of identity theft stories to model and assess identity threat behaviors. Author Yang, Yongpeng. Metadata Show full item record. Abstract Identity theft is an ever-present and ever-growing issue in our society.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Identity theft is often a "gateway" crime, as criminals use stolen or fraudulent identities to steal money, claim eligibility for services, hack into networks without authorization, and so on. The available data describing identity crimes and their aftermath is often in the form of recorded stories and reports by the news press, fraud examiners, and law enforcement. All of these sources are unstructured.

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