Random Number Generators, Principles and Practices has been written
for programmers, hardware engineers, and sophisticated hobbyists
interested in understanding random numbers generators and gaining the
tools necessary to work with random number generators with confidence
and knowledge.
Using an approach that employs clear diagrams and running code examples
rather than excessive mathematics, random number related topics such as
entropy estimation, entropy extraction, entropy sources, PRNGs,
randomness testing, distribution generation, and many others are exposed
and demystified.
If you have ever
- Wondered how to test if data is really random
- Needed to measure the randomness of data in real time as it is
generated
- Wondered how to get randomness into your programs
- Wondered whether or not a random number generator is trustworthy
- Wanted to be able to choose between random number generator solutions
- Needed to turn uniform random data into a different distribution
- Needed to ensure the random numbers from your computer will work for
your cryptographic application
- Wanted to combine more than one random number generator to increase
reliability or security
- Wanted to get random numbers in a floating point format
- Needed to verify that a random number generator meets the requirements
of a published standard like SP800-90 or AIS 31
- Needed to choose between an LCG, PCG or XorShift algorithm
Then this might be the book for you.
