@inproceedings{6d645af716bc4ac59989742f080d4271,
title = "POSTER: Towards privacy-preserving biometric identification in cloud computing",
abstract = "Wang et al. recently proposed a privacy-preserving biometric identification scheme. However, the security assumption of the scheme does not capture practical aspects of real world attacks. In this paper, we consider a practical attack model which results in the leakage of biometric data in Wang et al.'s scheme. We first show the feasibility of our attack model and demonstrate how an attacker is able to recover the biometric data. Then, we propose a new biometric identification scheme that is secure against the attack model.",
keywords = "Biometric identification, Cloud, Privacy",
author = "Changhee Hahn and Junbeom Hur",
note = "Funding Information: This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No. 2016R1A2A2A05005402).; 23rd ACM Conference on Computer and Communications Security, CCS 2016 ; Conference date: 24-10-2016 Through 28-10-2016",
year = "2016",
month = oct,
day = "24",
doi = "10.1145/2976749.2989048",
language = "English",
series = "Proceedings of the ACM Conference on Computer and Communications Security",
publisher = "Association for Computing Machinery",
pages = "1826--1828",
booktitle = "CCS 2016 - Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security",
}