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Random Number Generators Can Be Fooled to Behave Badly
backdoor random number generators health tests
2018/8/16
In this paper, we extend the work on purely mathematical Trojan horses initially presented by Young and Yung. This kind of mechanism affects the statistical properties of an infected random number gen...
SoK: Security Models for Pseudo-Random Number Generators
Pseudo-random number generation security models entropy
2017/3/2
Randomness plays an important role in multiple applications in cryptography. It is required in fundamental tasks such as key generation, masking and hiding values, nonces and initialization vectors ge...
Semi-Honest Secure Multiparty Computation Can Be Insecure with Use of Even Almost Uniformly Random Number Generators
two-party computation randomness pseudorandom generator
2016/12/7
It is widely understood that we are just human beings rather than being almighty; as a result, when utilizing cryptographic technology in practice, we have always to rely on imperfect randomness to va...
On the Entropy of Oscillator-Based True Random Number Generators
Oscillators true random number generators entropy estimation
2016/12/7
True random number generators (TRNGs) are essential for cryptographic systems, and they are usually evaluated by the concept of entropy. In general, the entropy of a TRNG is estimated from its stochas...
Canary Numbers: Design for Light-weight Online Testability of True Random Number Generators
TRNG FPGA Online Test
2016/4/18
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...
Robust Pseudo-Random Number Generators with Input Secure Against Side-Channel Attacks
Randomness Entropy Side-Channel countermeasures
2016/1/27
A pseudo-random number generator (PRNG) is a deterministic algorithm that produces
numbers whose distribution is indistinguishable from uniform. In this paper, we extend the formal
model of PRNG wit...
True Random Number Generators Secure in a Changing Environment: Improved Security Bounds
True Random Number Generators Resilient Extractors Hash Functions
2016/1/6
Barak, Shaltiel Tromer showed how to construct a True Random
Number Generator (TRNG) which is secure against an adversary
who has some limited control over the environment.
Fibonacci Ring Oscillators as True Random Number Generators - A Security Risk
random number generation TRNG ring oscillator
2016/1/3
Fibonacci ring oscillators are shown to have a risk to oscillate periodically instead of chaotically. The security implications of this are discussed. The probability of the occurrence of the periodic...
Security Analysis of Pseudo-Random Number Generators with Input: /dev/random is not Robust
Randomness Entropy
2014/3/12
A pseudo-random number generator (PRNG) is a deterministic algorithm that produces numbers whose distribution is indistinguishable from uniform. A formal security model for PRNGs with input was propos...
On the security of oscillator-based random number generators
hardware random number generators ring oscillators jitter model
2009/7/1
True Random Number Generators (TRNGs) are a critical
building block of many cryptographic systems. It is thus of first impor-
tance to design TRNGs with a proved assessment of security. A common
an...