Paper Info
Title
POSTER: A Hardware Fingerprint Using GPU Core Frequency Variations
Abstract
Hardware primitives provide significant promises to support cryptographic primitives and security mechanisms against various forms of compromises. In this work, we study the intrinsic hardware characteristics of modern graphics processing units (GPUs) due to random manufacturing variations, and exploits the inherent randomness to generate device-specific signatures. In particular, we present a novel GPU-based hardware fingerprint scheme to generate a unique, stable, physically unclonable, unpredictable, and random bit string from the inherent hardware features of a general purpose GPU (GPGPU). The generated fingerprint can be used to implement a physically unclonable function (PUF), and thus to create a trusted computing environment with GPUs as the trust anchor.
Year
DOI
Venue
2015
10.1145/2810103.2810105
ACM Conference on Computer and Communications Security
Field
DocType
Citations 
Graphics,Trusted Computing,Trust anchor,Computer science,Cryptographic primitive,Fingerprint,General-purpose computing on graphics processing units,Physical unclonable function,Computer hardware,Bit array,Embedded system
Conference
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Fengjun Li123323.55
Xin Fu2134.64
Bo Luo325121.73