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The Economics of Financial and Medical Identity Theft
Details
Financial identity theft is well understood with clear underlying motives. Medical identity theft is new and presents a growing problem. The solutions to both problems however, are less clear.
The Economics of Financial and Medical Identity Theft discusses how the digital networked environment is critically different from the world of paper, eyeballs and pens. Many of the effective identity protections are embedded behind the eyeballs, where the presumably passive observer is actually a fairly keen student of human behavior. The emergence of medical identity theft and the implications of medical data privacy are described in the second section of this book.
The Economics of Financial and Medical Identity Theft also presents an overview of the current technology for identity management. The book closes with a series of vignettes in the last chapter, looking at the risks we may see in the future and how these risks can be mitigated or avoided.
Includes observation examples of identity theft Presents an overview of the current technology for identity management Special attention is focused on medical identity theft and biometrics Includes a series of future technology possibilities for identity theft
Inhalt
Identity in Economics, and in Context.- Modern Technological and Traditional Social Identities.- Identity Theft.- Defeating the Greatest Masquerade.- Secrecy, Privacy, Identity.- Security and Privacy as Market Failures.- Identity Theft in Healthcare.- Healthcare Data: Protections and Hemorrhages.- Technologies of Identity.- Identity Scenarios.- Scenario IV: Ubiquitous Identity Theft.- Closing.- References.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781461419174
- Sprache Englisch
- Auflage 2012
- Größe H241mm x B160mm x T13mm
- Jahr 2012
- EAN 9781461419174
- Format Fester Einband
- ISBN 1461419174
- Veröffentlichung 23.03.2012
- Titel The Economics of Financial and Medical Identity Theft
- Autor M. Eric Johnson , L. Jean Camp
- Gewicht 442g
- Herausgeber Springer New York
- Anzahl Seiten 180
- Lesemotiv Verstehen
- Genre Informatik