Cryptographic Boolean Functions and Applications, Second by Thomas W. Cusick, Pantelimon Stanica

By Thomas W. Cusick, Pantelimon Stanica

Cryptographic Boolean features and functions, moment Edition is designed to be a finished reference for using Boolean services in sleek cryptography. whereas the majority of study on cryptographic Boolean capabilities has been accomplished because the Nineteen Seventies, while cryptography started to be widespread in daily transactions, specifically banking, correct fabric is scattered over hundreds of thousands of magazine articles, convention court cases, books, stories and notes, a few of them simply to be had on-line.

This e-book follows the former version in sifting via this compendium and collecting the main major info in a single concise reference e-book. The paintings for this reason encompasses over six hundred citations, overlaying each point of the purposes of cryptographic Boolean features.

Since 2008, the topic has noticeable a truly huge variety of new effects, and in reaction, the authors have ready a brand new bankruptcy on specified features. the recent version brings a hundred thoroughly new references and a spread of fifty new pages, besides heavy revision during the textual content.

  • Presents a foundational process, starting with the fundamentals of the mandatory conception, then progressing to extra complicated content material
  • Includes significant thoughts which are provided with whole proofs, with an emphasis on how they are often utilized
  • Includes an in depth record of references, together with a hundred new to this variation that have been selected to spotlight appropriate topics
  • Contains a bit on detailed features and all-new numerical examples

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Extra resources for Cryptographic Boolean Functions and Applications, Second Edition

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N − 2i)! i! 2n/2 3n/8≤i ≤n/2 and B(3n/8, n/2) ≤ n! 3n/8≤i ≤n/2 (n − 2i )! i! 18) = 0. A simple calculation shows that for 0 ≤ i ≤ 3n/8, the integer n! 19) (n − 2i)! i! 19) in the range 0 ≤ i ≤ 3n/8 is asymptotic to n! (n/4)! (3n/8)! < 6n 3n/8 . e Hence we get the following estimate for the sum of the low order terms in B(0, n/2): B(0, 3n/8) < 3n 6n 8 e 3n/8 . 20) The last term in A(0, n/2), which is not even the largest one, by Stirling’s formula is asymptotic to n! (n/2)! 20). 23. 5 PROPAGATION CRITERIA A Boolean function f (x) in n variables is said to satisfy the propagation criterion of degree k (P C (k) for short) if changing any i (1 ≤ i ≤ k) of the n bits in the input x results in the output of the function being changed for exactly half of the 2n vectors x.

See [39]. The proof involves detailed geometric analysis inside cubes of high dimension, among other things. 3 COUNTING BALANCED SAC FUNCTIONS Boolean functions in cryptographic applications almost always need to be balanced, or nearly so. Therefore it is of interest to see if results like those above can be proved for the number of balanced SAC Boolean functions in n variables. We let Un denote this number. We are also interested in the size of the ratio Bn defined by Bn = 2−n log2 Un . As above, it is clear that Bn ≤ 1 and it is natural to conjecture that lim Bn exists.

The Berlekamp–Massey algorithm runs according to the following pseudocode: Input: binary sequence s = s0 , s1 , . . , sn−1 of length n Output: linear complexity 0 ≤ L(sn ) ≤ n begin C (x) = 1 L=0 m = −1 B(x) = 1 N =0 while (N < n) m−1 d = sN ⊕ i=0 ci sN −1−i (computes the next discrepancy) if (d = 1) T (x) = C (x) C (x) = C (x) + B(x) · x N −m if L ≤ N /2 L=N +1−L m=N B(x) = T (x) end if else (N = N + 1) end if end while end The Berlekamp–Massey algorithm is based on the next result [300,322].

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