Conference proceeding
POSTER: Making the Case for Intrinsic Personal Physical Unclonable Functions (IP-PUFs)
PROCEEDINGS OF THE 18TH ACM CONFERENCE ON COMPUTER & COMMUNICATIONS SECURITY (CCS 11), pp.825-827
01/01/2011
DOI: 10.1145/2046707.2093503
Abstract
Physical Unclonable Functions (PUFs) are physical systems whose responses to input stimuli (i.e., challenges) are easy to measure but difficult to clone. The unclonability property is due to the accepted hardness of replicating the multitude of uncontrollable manufacturing characteristics and makes PUFs useful in solving problems such as authentication, software protection/licensing, and certified execution.
In this abstract, we claim that any multi-core computer is usable as a timing-PUF and can be measured via simple benchmarking tools (i.e., no specialized hardware required). We investigate several characterstics of standard off-the-shelf computers and present initial experimental results justifying our claim. Additionally, we argue that PUFs which are intrinsically involved in computations over sensitive data are preferable to peripheral device PUFs - especially for intellectual property protection and continuous device authentication.
Details
- Title: Subtitle
- POSTER: Making the Case for Intrinsic Personal Physical Unclonable Functions (IP-PUFs)
- Creators
- Rishab Nithyanand - Stony Brook UniversityRadu Sion - Stony Brook UniversityJohn Solis - Sandia National Laboratories CaliforniaACM
- Resource Type
- Conference proceeding
- Publication Details
- PROCEEDINGS OF THE 18TH ACM CONFERENCE ON COMPUTER & COMMUNICATIONS SECURITY (CCS 11), pp.825-827
- DOI
- 10.1145/2046707.2093503
- Publisher
- Assoc Computing Machinery
- Number of pages
- 3
- Grant note
- DE-AC04-94AL85000 / United States Department of Energy's National Nuclear Security Administration; National Nuclear Security Administration Laboratory Directed Research and Development (LDRD) program at Sandia National Laboratories
- Language
- English
- Date published
- 01/01/2011
- Academic Unit
- Center for Social Science Innovation; Computer Science; Public Policy Center (Archive)
- Record Identifier
- 9984285557402771
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