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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...
Robust, low-cost, auditable random number generation for embedded system security
hardware RNG pseudo-randomness
2016/12/9
This paper presents an architecture for a discrete, high-entropy hardware random number generator. Because it is constructed out of simple hardware components, its operation is transparent and auditab...
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...
In this work we demonstrate various weaknesses of the random
number generator (RNG) in the OpenSSL cryptographic library. We
show how OpenSSL’s RNG, knowingly in a low entropy state, potentially
le...
On a decentralized trustless pseudo-random number generation algorithm
public randomness collusion algorithm works w.h.p.
2016/3/2
We construct an algorithm that permits a large group of individuals
to reach consensus on a random number, without having to rely
on any third parties. The algorithm works with high probability if
...
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...
Postprocessing for quantum random-number generators: Entropy evaluation and randomness extraction
Postprocessing quantum random-number generator Entropy evaluation randomness extraction
2016/1/23
Quantum random-number generators (QRNGs) can offer a means to generate information-theoretically provable random numbers, in principle. In practice, unfortunately, the quantum randomness is inevitably...
Practical and Fast Quantum Random Number Generation Based on Photon Arrival Time Relative to External Reference
Practical Fast Quantum Random Number Generation Photon Arrival Time Relative External Reference
2016/1/22
We present a practical high-speed quantum random number generator, where the timing of single-photon detection relative to an external time reference is measured as the raw data. The bias of the raw d...
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...
RANDOM WALKS ARISING IN RANDOM NUMBER GENERATION。
On-Chip True Random Number Generation in Nanometer CMOS
True Random Number Generation Process Variation Circuit calibration
2014/12/8
On-chip True Random Number Generator (TRNG) forms an integral part of a number of cryptographic systems in multi-core processors, communication networks and RFID. TRNG provides random keys, device id ...