He explains entropy sources and extraction, cryptographically secure pseudorandom number
generators, nondeterministic random number generators, statistically uniform noncrytpographic pseudorandom number
generators, Gaussian or normally distributed pseudorandom number
generators, testing random numbers, online random number testing, SP800-22 distinguishability tests, software tools, accessing random number generators from software, floating-point random numbers, making a uniform random number between nonpower of two bounds, generating random prime numbers, additive and probability distributions, quantifying entropy, and other topics.
As many cryptographic algorithms do not have a true random source so these algorithm use pseudorandom number
Even though uniform PDF pseudorandom number
generation is an area that has been thoroughly studied [8-9], there are few solutions that are easily manageable using a hardware.
In the tag generation phase, the client uses a pseudorandom number
generator to generate a series of pseudorandom numbers
and then multiplies the video file blocks with pseudorandom numbers
to obtain the tag.
where [[epsilon].sub.i] is a normal pseudorandom number
with mean zero and variance one.
Finally, it enables for easy and energy-efficient synchronization of pseudorandom number
generators between sensor and the receiver/smartphone side (with minimal data transmission overhead) .
Whitlock, "Efficient deterministic and non-deterministic pseudorandom number
generation," Mathematics and Computers in Simulation, vol.
where mid([??]([C.sub.a])) indicates midband frequency region; a is the embedding factor; and PN is the pseudorandom number
. Equation (9) has been further explained in Section 3.6; embedding factor (a) has been discussed in Section 3.4 and pseudorandom number
(PN) has been discussed in Section 3.5.
Although often called random number generators, these programs are actually pseudorandom number
One approach is using a pseudorandom number
generator to select the pixel in which to embed the watermark.
Statistical Test Suite for Random and Pseudorandom Number
Generators for Cryptographic Applications.
 Mascagni M, Srinivasan A (2000) Algorithm 806: SPRNG: a scalable library for pseudorandom number