NDLI: Photonic Side-Channel Analysis of Arbiter PUFs

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Photonic Side-Channel Analysis of Arbiter PUFs

Content Provider	Springer Nature Link
Author	Tajik, Shahin Dietz, Enrico Frohmann, Sven Dittrich, Helmar Nedospasov, Dmitry Helfmeier, Clemens Seifert, Jean Pierre Boit, Christian Hübers, Heinz Wilhelm
Copyright Year	2016
Abstract	As intended by its name, physically unclonable functions (PUFs) are considered as an ultimate solution to deal with insecure storage, hardware counterfeiting, and many other security problems. However, many different successful attacks have already revealed vulnerabilities of certain digital intrinsic PUFs. This paper demonstrates that legacy arbiter PUF and its popular extended versions (i.e., feed-forward and XOR-enhanced) can be completely and linearly characterized by means of photonic emission analysis. Our experimental setup is capable of measuring every PUF internal delay with a resolution of 6 ps. Due to this resolution, we indeed require only the theoretical minimum number of linear independent equations (i.e., physical measurements) to directly solve the underlying inhomogeneous linear system. Moreover, it is not required to know the actual PUF responses for our physical delay extraction. We present our practical results for an arbiter PUF implementation on a complex programmable logic device manufactured with a 180 nm process. Finally, we give an insight into photonic emission analysis of arbiter PUF on smaller chip architectures by performing experiments on a field programmable gate array manufactured with a 60 nm process.
Starting Page	550
Ending Page	571
Page Count	22
File Format	PDF
ISSN	09332790
Journal	Journal of Cryptology
Volume Number	30
Issue Number	2
e-ISSN	14321378
Language	English
Publisher	Springer US
Publisher Date	2016-04-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Physically unclonable function Arbiter PUF Photonic emission analysis Physical characterization Coding and Information Theory Computational Mathematics and Numerical Analysis Combinatorics Probability Theory and Stochastic Processes Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Computer Science Applications Software

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