Unformatted text preview: b is prohibited. Read EarthWeb's privacy statement. To access the contents, click the chapter and section titles. Applied Cryptography, Second Edition: Protocols, Algorthms, and Source Code in C (cloth)
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Brief Full Advanced Search Search Tips (Publisher: John Wiley & Sons, Inc.) Author(s): Bruce Schneier ISBN: 0471128457 Publication Date: 01/01/96 Search this book:
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 The theory behind the BBS generator has to do with quadratic residues modulo n (see Section 11.3). Here’s how it works. First find two large prime numbers, p and q, which are congruent to 3 modulo 4. The product of those numbers, n, is a Blum integer. Choose another random integer, x, which is relatively prime to n. Compute x0 = x2 mod n That’s the seed for the generator. Now you can start computing bits. The ith pseudorandom bit is the least significant bit of xi, where xi = xi12 mod n The most intriguing property of this generator is that you don’t have to iterate through all i  1 bits to get the ith bit. If you know p and q, you can compute the ith bit directly. bi is the least significant bit of xi, where xi = x0(2i) mod ((p1)(q1)) This property means you can use this cryptographically strong pseudorandombit generator as a stream cryptosystem for a randomaccess file. The security of this scheme rests on the difficulty of factoring n. You can make n public, so anyone can generate bits using the generator. However, unless a cryptanalyst can factor n, he can never predict the output of the generator—not even with a statement like: “The next bit has a 51 percent chance of being a 1.” More strongly, the BBS generator is unpredictable to the left and unpredictable to the right. This means that given a sequence generated by the generator, a cryptanalyst cannot predict the next bit in the sequence nor the previous bit in the sequence. This is not security based on some complicated bit generator that no one understands, but the mathematics behi...
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 Cryptography, Bruce Schneier, Applied Cryptography, EarthWeb, Search Search Tips

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