Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80438
Title: Facial biohashing based user-device physical unclonable function for bring your own device security
Authors: Zheng, Yue
Cao, Yuan
Chang, Chip Hong
Keywords: User-Device Bipartite Authentication
Face Recognition
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Zheng, Y., Cao, Y., & Chang, C. H. (2018). Facial biohashing based user-device physical unclonable function for bring your own device security. 2018 IEEE International Conference on Consumer Electronics (ICCE). doi:10.1109/ICCE.2018.8326074
Abstract: Bring your own device (BYOD) is gaining popularity. Using multifarious personal devices in the workplace to perform work-related tasks brings new challenges to trust and privacy management. Existing authentication schemes usually target at user or device separately, while the BYOD system needs to ensure that only the authorized user with the trusted devices can be given access. This paper presents a novel biohashing based user-device physical unclonable function (UD PUF) to provide a bipartite authentication of both user and device for the BYOD system. Biometric features are extracted as user identity while PUF endows the device with an inseparable and unclonable “fingerprint”. Biohashing acts as an intermediary between these two incoherent macroscopic biometric and microscopic silicon entropy sources for security enhancement. The concept is demonstrated using a 64 × 64 image sensor PUF simulated in 180nm 3.3 V CMOS technology, and the ORL and yale databases of faces. Our preliminary experimental results showed that a genuine (user, device, challenge) combination exhibits a very low equal error rate of 0.032, and tampering of any elements of the tuple will cause the hamming distance between the “live” and enrolled templates to have nearly random distribution.
URI: https://hdl.handle.net/10356/80438
http://hdl.handle.net/10220/46646
DOI: 10.1109/ICCE.2018.8326074
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICCE.2018.8326074].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Files in This Item:
File Description SizeFormat 
UD_PUF.pdf1.91 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

7
checked on Aug 31, 2020

Page view(s) 20

87
checked on Sep 30, 2020

Download(s) 20

60
checked on Sep 30, 2020

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.