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

Other literature type, Conference object English OPEN
Rozic, Vladimir; Yang, Bohan; Mentens, Nele; Verbauwhede, Ingrid;
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.56625, doi: 10.5281/zenodo.56622
  • Subject: number generators | Neuroscience | Developmental Biology | Mental Health | Mathematical Sciences not elsewhere classified | Physiology | Medicine | 2 case studies | health tests | Light-weight Online Testability | early-warning attack detection | True Random Number Generators | entropy source | Cancer | canary numbers | aXilinx Spartan -6 FPGA

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 ... View more
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