Paper Info
Title
UDhashing: Physical Unclonable Function-Based User-Device Hash for Endpoint Authentication
Abstract
With IT consumerization, access control to remote system by endpoint user and endpoint device is mandatory for security and privacy protection. Existing systems bind an end user with his/her registered devices but authenticate only the user and device independently. This paper presents a novel UDhashing scheme, which is capable of providing a bipartite authentication of both end user and end device as a whole, and mutual authentication between the endpoint and the verifier. Noncontact facial biometric is extracted as user identity and physical unclonable function (PUF) is embedded into the device to generate a device “fingerprint.” UDhashing serves as an intermediary to unify the macroscopic human biometric and microscopic silicon entropy source into a single identity. The scheme is demonstrated using measured silicon data of a diode-clamped inverter-based strong PUF fabricated in 40 nm 1.1 V CMOS technology, and the Olivetti Research Laboratory (ORL) and extended (Ext.) Yale B face databases. The experimental results show that the proposed system has good authentication performance with excellent discriminability for different (challenge, user, device) tuples. Besides, the proposed system is analyzed to be resilient to several known attacks. Its reliability and authentication performance can be easily enhanced by low-cost error-correction technique without compromising security.
Year
DOI
Venue
2019
10.1109/TIE.2019.2893831
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Authentication,Feature extraction,Performance evaluation,Privacy,Silicon,Games
Journal
66
Issue
ISSN
Citations 
12
0278-0046
3
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
Yue Zheng17010.70
Yuan Cao25414.46
Chip-Hong Chang31160123.27