Multi-modal techniques for identity theft prevention

Authors:
Taekyoung Kwon;Hyeonjoon Moon
Affiliations:
Sejong University, Seoul, Korea;Sejong University, Seoul, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

Citing 9
Cited 0

A practical zero-knowledge protocol fitted to security microprocessor minimizing both transmission and memory

Lecture Notes in Computer Science on Advances in Cryptology-EUROCRYPT'88
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
A method for obtaining digital signatures and public-key cryptosystems

Communications of the ACM
Handbook of Applied Cryptography

Handbook of Applied Cryptography
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Multi-modal biometrics with PKI technologies for border control applications

ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

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 off-line 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.