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The problem in the running code was discovered in 1995 by Ian Goldberg and David Wagner, [4] who had to reverse engineer the object code because Netscape refused to reveal the details of its random number generation (security through obscurity). That RNG was fixed in later releases (version 2 and higher) by more robust (i.e., more random and so ...
ANSI X9.31-1998 Appendix A.2.4; ANSI X9.62-1998 Annex A.4, obsoleted by ANSI X9.62-2005, Annex D (HMAC_DRBG) A good reference is maintained by NIST. [26] There are also standards for statistical testing of new CSPRNG designs: A Statistical Test Suite for Random and Pseudorandom Number Generators, NIST Special Publication 800-22. [27]
The RNG validation list carries the following notice: "As of January 1, 2016, in accordance with the SP800-131A Revision 1 Transitions: Recommendation for Transitioning the Use of Cryptographic Algorithms and Key Lengths, the use of RNGs specified in FIPS 186-2, [X9.31], and the 1998 version of [X9.62] is no longer approved.
There are several "pools" of entropy; each entropy source distributes its alleged entropy evenly over the pools; and (here is the key idea) on the nth reseeding of the generator, pool k is used only if n is a multiple of 2 k. Thus, the kth pool is used only 1/2 k of the time. Higher-numbered pools, in other words, (1) contribute to reseedings ...
Widely used in many programs, e.g. it is used in Excel 2003 and later versions for the Excel function RAND [8] and it was the default generator in the language Python up to version 2.2. [9] Rule 30: 1983 S. Wolfram [10] Based on cellular automata. Inversive congruential generator (ICG) 1986 J. Eichenauer and J. Lehn [11] Blum Blum Shub: 1986
ISAAC (indirection, shift, accumulate, add, and count) is a cryptographically secure pseudorandom number generator and a stream cipher designed by Robert J. Jenkins Jr. in 1993. [1] The reference implementation source code was dedicated to the public domain. [2] "I developed (...) tests to break a generator, and I developed the generator to ...
The Mersenne Twister has a period of 2 19 937 − 1 iterations (≈ 4.3 × 10 6001), is proven to be equidistributed in (up to) 623 dimensions (for 32-bit values), and at the time of its introduction was running faster than other statistically reasonable generators.
The letters are determined by the number of 1s in a byte 0, 1, or 2 yield A, 3 yields B, 4 yields C, 5 yields D and 6, 7 or 8 yield E. Thus we have a monkey at a typewriter hitting five keys with various probabilities (37, 56, 70, 56, 37 over 256).