Paper Info
Title
Iris Template Protection Based on Randomized Response Technique and Aggregated Block Information
Abstract
Nowadays, biometric recognition has been widely used in real-world applications, but it has also brought potential privacy threats to users. Iris template protection enables an effective iris recognition while protecting personal privacy. In this paper, we propose a method for iris template protection based on randomized response technique and aggregated block information. Specifically, the iris data are first permuted according to an application-specific parameter; next, the permuted data are flipped using the randomized response technique; finally, the result is divided into blocks, and the aggregated information (i.e., the sum of all bits) in each block is calculated and stored instead of original iris data for privacy protection. We demonstrate that the proposed method supports the shifting and masking strategies for enhancing recognition performance. Moreover, the proposed method satisfies the three privacy requirements prescribed in ISO/IEC 24745: irreversibility, revocability and unlinkability. Experimental results show that the proposed method could effectively maintain the recognition performance (w.r.t. the original iris recognition system without privacy protection) on the iris database CASIA-IrisV3-Interval.
Year
DOI
Venue
2018
10.1109/ISSRE.2018.00034
2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE)
Keywords
Field
DocType
Iris Recognition,privacy protection,iris template protection,randomized response technique
Iris recognition,Data mining,Cryptography,Computer science,Randomized Response Technique,Server,Real-time computing,Biometrics,Iris flower data set,Information privacy
Conference
ISSN
ISBN
Citations 
1071-9458
978-1-5386-8322-4
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Dongdong Zhao13420.62
Xiaoyi Hu2105.66
Jing Tian373.43
Shengwu Xiong418953.59
Jianwen Xiang511323.36