Multi-modal techniques for identity theft prevention

Taekyoung Kwon, Hyeonjoon Moon

Research output: Contribution to journalConference article

Abstract

The rapid growth of the Internet has caused a large number of social problems including invasion of privacy and violation of personal identity. Currently, it is an emerging trend to verify personal identity based on hybrid methods (for example, by combining the existing offline and on-line verification methods) using the Internet in the legacy applications. As a result, many security problems of the Internet is now becoming the practical impacts on our social applications. In this paper, we study multi-modal techniques for preventing identity theft in the social applications from the practical perspectives. A digital signature techniques and multi-modal biometrics are exploited in our scheme without requiring users to hold additional hardware devices.

Original languageEnglish
Pages (from-to)291-300
Number of pages10
JournalLecture Notes in Computer Science
Volume3597
Publication statusPublished - 2005 Oct 19

Fingerprint

Internet
Electronic document identification systems
Digital Signature
Identity-based
Invasion
Biometrics
Hybrid Method
Privacy
Hardware
Verify
Trends

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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Multi-modal techniques for identity theft prevention. / Kwon, Taekyoung; Moon, Hyeonjoon.

In: Lecture Notes in Computer Science, Vol. 3597, 19.10.2005, p. 291-300.

Research output: Contribution to journalConference article

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