Securing biometric templates for reliable identity authentication

Authors:
Muhammad Khurram Khan;Jiashu Zhang
Affiliations:
Research Group for Biometrics (RGB), Sichuan Province Key Lab of Signal & Information Processing, School of Computer & Communication Engineering, Southwest Jiaotong University, Chengdu, Si ...;Research Group for Biometrics (RGB), Sichuan Province Key Lab of Signal & Information Processing, School of Computer & Communication Engineering, Southwest Jiaotong University, Chengdu, Si ...
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

Citing 7
Cited 2

Inside risks: the uses and abuses of biometrics

Communications of the ACM
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Hiding Biometric Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing security and privacy in biometrics-based authentication systems

IBM Systems Journal - End-to-end security
Vulnerabilities in biometric encryption systems

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Protecting biometric data for personal identification

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
An ultra-low memory fingerprint matching algorithm and its implementation on a 32-bit smart card

IEEE Transactions on Consumer Electronics

Letters: Multimodal face and fingerprint biometrics authentication on space-limited tokens

Neurocomputing
Enhancing the transmission security of content-based hidden biometric data

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

The large-scale implementation and deployment of biometric systems demand the concentration on the security holes, by which a reliable system can loose its integrity and acceptance. Like the passwords or PIN codes, biometric systems also suffer from inherent security threats and it is important to pay attention on the security issues before deploying a biometric system. To solve these problems, this paper proposes a novel chaotic encryption method to protect and secure biometric templates. To enhance the security of the templates, this research uses two chaotic maps for the encryption/decryption process. One chaotic map generates a pseudorandom sequence, which is used as private key. While on the other hand, another chaotic map encrypts the biometric data. Experimental results show that the proposed method is secure, fast, and easy to implement for achieving the security of biometric templates.