The use of biometrics to prevent identity theft

Syed Rizvi, Cory Reger, Aaron Zuchelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates the identity theft and how to effectively use the biometric technology in order to prevent it from happening. Over the past few years, identity theft has become one of the most serious financial threats to corporations in the United States. Identity theft is when a thief steals sensitive information in order to engage in large financial transactions. When a thief successfully steals an identity, he or she may take out large amounts of loans and make purchases in the victim’s name. Identity theft allows thieves to pose as the victim so that all of the thief’s actions will be projected as actions from the victims. Thieves can damage corporations by compromising corporate credit cards as well as file documents to change the legal address of the victim’s company. Throughout the past decade, corporations have been using variations of biometric technology to prevent identity theft. This paper presents a new scheme for corporate identity theft prevention using biometric technology. Specifically, we develop a biometric based authentication system consisting of encryption and decryption processes. To show the practicality of our proposed scheme, an attacker-centric threat mode is created.

Original languageEnglish (US)
Title of host publicationIntelligent Systems Technologies and Applications 2016
EditorsSushmita Mitra, Sabu M. Thampi, El-Sayed El-Alfy, Juan Manuel Corchado Rodriguez
PublisherSpringer Verlag
Pages367-381
Number of pages15
ISBN (Print)9783319479514
DOIs
StatePublished - Jan 1 2016
EventInternational Symposium on Intelligent Systems Technologies and Applications, ISTA 2016 - Jaipur, India
Duration: Sep 21 2016Sep 24 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume530
ISSN (Print)2194-5357

Other

OtherInternational Symposium on Intelligent Systems Technologies and Applications, ISTA 2016
CountryIndia
CityJaipur
Period9/21/169/24/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Rizvi, S., Reger, C., & Zuchelli, A. (2016). The use of biometrics to prevent identity theft. In S. Mitra, S. M. Thampi, E-S. El-Alfy, & J. M. C. Rodriguez (Eds.), Intelligent Systems Technologies and Applications 2016 (pp. 367-381). (Advances in Intelligent Systems and Computing; Vol. 530). Springer Verlag. https://doi.org/10.1007/978-3-319-47952-1_29