Title
Certifiably Biased: An In-Depth Analysis of a Common Criteria EAL4+ Certified TRNG.
Abstract
This paper reports the first in-depth analysis of the DESFire EV1's EAL4+ certified TRNG and raises some difficult questions regarding the certification of non-deterministic random number generators. We start by analyzing the quality of the purportedly true random number generator (TRNG) on the DESFire EV1 card. Clear and consistent biases are identified, despite good performance in most randomnes...
Year
DOI
Venue
2018
10.1109/TIFS.2017.2777342
IEEE Transactions on Information Forensics and Security
Keywords
Field
DocType
Cryptography,Authentication,Radiofrequency identification,Protocols,Generators,Data collection
Byte,Data mining,Authentication,Pattern recognition,Cryptography,Computer science,Responsible disclosure,Randomness tests,Common Criteria,Artificial intelligence,Random number generation,Statistical hypothesis testing
Journal
Volume
Issue
ISSN
13
4
1556-6013
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Darren Hurley-Smith151.91
Julio C. Hernandez-Castro229826.88