publication . Conference object . Other literature type . 2016

Canary Numbers: Design for Light-weight Online Testability of True Random Number Generators

Rozic, Vladimir; Yang, Bohan; Mentens, Nele; Verbauwhede, Ingrid;
Open Access
  • Published: 07 Jun 2016
Abstract
We introduce the concept of canary numbers, to be used in health tests for true random number generators. Health tests are essential components of true random number generators because they are used to detect defects and failures of the entropy source. These tests need to be lightweight, low-latency and highly reliable. The proposed solution uses canary numbers which are an extra output of the entropy source of lower quality. This enables an early-warning attack detection before the output of the generator is compromised. We illustrate the idea with 2 case studies of true random number generators implemented on aXilinx Spartan-6 FPGA. H2020 644052 / HECTOR
Subjects
free text keywords: Medicine, Neuroscience, Physiology, Developmental Biology, Cancer, Mental Health, Mathematical Sciences not elsewhere classified, number generators, aXilinx Spartan -6 FPGA, early-warning attack detection, 2 case studies, health tests, canary numbers, entropy source, Light-weight Online Testability, True Random Number Generators
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Conference object . 2016
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Other literature type . 2016
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Other literature type . 2016
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Zenodo
Other literature type . 2016
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publication . Conference object . Other literature type . 2016

Canary Numbers: Design for Light-weight Online Testability of True Random Number Generators

Rozic, Vladimir; Yang, Bohan; Mentens, Nele; Verbauwhede, Ingrid;