2013
DOI: 10.1109/tcad.2013.2274940
|View full text |Cite
|
Sign up to set email alerts
|

Improving the Quality of Delay-Based PUFs via Optical Proximity Correction

Abstract: Silicon physically unclonable functions (PUFs) are circuits that exploit modern manufacturing variations to generate unique signatures for chip authentication and cryptographic key generation. Existing research has focused on improving PUF quality at architectural or design levels, but has ignored opportunities available during fabrication, which is the source of systematic and random variation in (ICs)/PUFs. For typical ICs (where security is not a concern), optical proximity correction (OPC) is used to suppr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 29 publications
0
1
0
Order By: Relevance
“…At layout and masking levels, causing fabrication variations requires the layout and masking engineer to act exactly in the opposite direction against any variation-limiting approaches. For example, PUF masks are better with PUF-aware OPC applied to improve their uniqueness [98], [99]. This approach can be applied wherever a variation is required in a portion of the circuit, whereas a regular OPC can normally be applied elsewhere.…”
Section: H Applicable Variation Enhancementsmentioning
confidence: 99%
“…At layout and masking levels, causing fabrication variations requires the layout and masking engineer to act exactly in the opposite direction against any variation-limiting approaches. For example, PUF masks are better with PUF-aware OPC applied to improve their uniqueness [98], [99]. This approach can be applied wherever a variation is required in a portion of the circuit, whereas a regular OPC can normally be applied elsewhere.…”
Section: H Applicable Variation Enhancementsmentioning
confidence: 99%