Presentation Open Access

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

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

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
Files (1.8 MB)
Name Size
1.8 MB Download
All versions This version
Views 1010
Downloads 1212
Data volume 21.6 MB21.6 MB
Unique views 1010
Unique downloads 1111


Cite as