DocumentCode :
2160770
Title :
Fast physical object identification based on unclonable features and soft fingerprinting
Author :
Holotyak, Taras ; Voloshynovskiy, Sviatoslav ; Koval, Oleksiy ; Beekhof, Fokko
Author_Institution :
Dept. of Comput. Sci., Univ. of Geneva, Geneva, Switzerland
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
1713
Lastpage :
1716
Abstract :
In this paper we advocate a new technique for the fast identification of physical objects based on their physical unclonable features (surface microstructures). The proposed identification method is based on soft fingerprinting and consists of two stages: at the first stage the list of possible candidates is estimated based on the most reliable bits of a soft fingerprint and the traditional maximum likelihood decoding is applied to the obtained list to find a single best match at the second stage. The soft fingerprint is computed based on random projections with a sign-magnitude decomposition of projected coefficients. The estimate of a bit reliability is deduced directly from the observed coefficients. We investigate different decoding strategies to estimate the list of candidates, which minimize the probability of miss of the right index on the list. The obtained results show the flexibility of the proposed identification method to provide the performance-complexity trade-off.
Keywords :
fingerprint identification; bit reliability; fast physical object identification; maximum likelihood decoding; performance-complexity trade-off; sign-magnitude decomposition; soft fingerprinting; unclonable features; Complexity theory; Decoding; Indexes; Reliability; Security; Signal to noise ratio; Identification; Physical Unclonable Function (PUF); computational complexity; fingerprint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946831
Filename :
5946831
Link To Document :
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