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  1. Transactions on Reconfigurable Technology and Systems (TRETS)
  2. ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 9
  3. Issue 2(Special Section on RAW2014), February 2016
  4. RAW 2014: Random Number Generators on FPGAs
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ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 10
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 9
Issue 4(Regular Papers and Special Section on Field Programmable Gate Arrays (FPGA) 2015), September 2016
Issue 3(Special Issue on Reconfigurable Components with Source Code), September 2016
Issue 2(Special Section on RAW2014), February 2016
Guest Editorial RAW 2014
Value State Flow Graph: A Dataflow Compiler IR for Accelerating Control-Intensive Code in Spatial Hardware
RAW 2014: Random Number Generators on FPGAs
A Reconfigurable Architecture for the Detection of Strongly Connected Components
CORDIC-Based Enhanced Systolic Array Architecture for QR Decomposition
Separation Logic for High-Level Synthesis
Compact and On-the-Fly Secure Dynamic Reconfiguration for Volatile FPGAs
Coarse-Grained Architecture for Fingerprint Matching
Issue 1(Special Section on the 2014 International Symposium on Applied Reconfigurable Computing), November 2015
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 8
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 7
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 6
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 5
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 4
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 3
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 2
ACM Transactions on Reconfigurable Technology and Systems (TRETS) : Volume 1

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RAW 2014: Random Number Generators on FPGAs (TRETS, Vol.9, Issue 2)

Content Provider ACM Digital Library
Author Vogt, Markus Pionteck, Thilo Raitza, Michael Hochberger, Christian
Copyright Year 2015
Abstract Random numbers are important ingredients in a number of applications. Especially in a security context, they must be well distributed and unpredictable. We investigate the practical use of random number generators (RNGs) that are built from digital elements found in FPGAs. For this, we implement different types of ring oscillators (ROs) and memory collision-based circuits on FPGAs from major vendors. Implementing RNGs on the same device as the rest of the system benefits an overall reduction of vulnerability to attacks and wire tapping. Nevertheless, we investigate different attacks by tampering with power supply, chip temperature, and by exposition to strong magnetic fields and X-radiation. We also consider their usability as massively deployed components, whose functionality cannot be tested individually anymore, by conducting a technology invariance experiment. Our experiments show that BlockRAM-based RNGs cannot be considered as a suitable entropy source. We further show that RO-based RNGs work reliably under a wide range of operating conditions. While magnetic fields and X-rays did not induce any notable change, voltage and temperature variations caused an increase in propagation delays within the circuits. We show how reliable RNGs can be constructed and deployed on FPGAs.
Starting Page 1
Ending Page 21
Page Count 21
File Format PDF
ISSN 19367406
e-ISSN 19367414
DOI 10.1145/2807699
Volume Number 9
Issue Number 2
Journal ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-04
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Entropy source FPGA X-radiation Active attack on random number generator Cryptography Magnetic field Power supply Technology invariance Temperature True random number generator
Content Type Text
Resource Type Article
Subject Computer Science
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