This paper presents two novel hardware random number generators (RNGs) based on latch metastability. We designed the first, the DC-nulling RNG, for extremely low power operation. The second, the FIR-based RNG, uses a predictive whitening filter to remove non-random components from the generated bit sequence. In both designs, the use of floatinggate memory cells allows us to predict and compensa...

The generation of random numbers is a task of paramount importance in modern science. A central problem for both classical and quantum randomness generation is to estimate the entropy of the data generated by a given device. Here we present a protocol for self-testing quantum random number generation, in which the user can monitor the entropy in real-time. Based on a few general assumptions, ou...

One of the key requirement of many schemes is that of random numbers. Sequence of random numbers are used at several stages of a standard cryptographic protocol. A simple example is of a Vernam cipher, where a string of random numbers is added to massage string to generate the encrypted code. It is represented as C = M ⊕ K where M is the message, K is the key and C is the ciphertext. It has bee...

In this paper we designed a new type of Random number generator by using shift registers and LUT with D-FF as input to it. The algorithm used to generate random numbers is realized using simple xor circuit and implemented on a Virtex II FPGA from Xilinx. This designed block indicate a good sequence of random numbers which is used in high-speed data processor, Testing Instruments, Finding Laser ...

A novel Mathematical Random Number Generator (MRNG) is presented here. In this case, ”mathematical” refers to the fact that to construct that generator it is not necessary to resort to a physical phenomenon, such as the thermal noise of an electronic device, but rather to a mathematical procedure. The MRNG generates binary strings – in principle, as long as desired – which may be considered gen...

A field programmable gate array (FPGA) -based implementation of a physical random number generator (PRNG) is presented. The PRNG uses an alternating step generator construction to decorrelate an oscillator-phase-noise-based physical random source. The resulting design can be implemented completely in digital technology, requires no external components, is very small in area, achieves very high ...

In this paper I describe Craft, a floating-point constraint solver that generates sets of random numbers satisfying designerspecified algebraic constraints. Craft is available both as a C# API and as a Unity3D component that allows designers to directly specify constraints in the Unity editor. Despite the exponential complexity of the algorithm, the algorithm performs well on design-inspired pr...

" The state of the art for generating uniform deviates has advanced considerably in the last decade and now begins to resemble a mature field. " Press et al. [46]

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 leaks low entropy secrets in its output, which were never intentionally fed to the RNG by client code, thus posing vulnerabilities even when in the given usage scenario the low entropy state is respecte...

Two closely-related pseudo-random sequence generators are presented: The lIP generator, with input P a prime, outputs the quotient digits obtained on dividing by P. The x mod N generator with inputs N, Xo (where N P. Q is a product of distinct primes, each congruent to 3 mod 4, and x0 is a quadratic residue mod N), outputs bob1 b2" where bi parity (xi) and xi+ x mod N. From short seeds each gen...