Algebraic Aspects of the Advanced Encryption Standard by Carlos Cid

By Carlos Cid

The Belgian block cipher Rijndael was once selected in 2000 by way of the U.S. government’s nationwide Institute of criteria and know-how (NIST) to be the successor to the information Encryption common. Rijndael used to be consequently standardized because the complex Encryption typical (AES), that's almost certainly the world’s most crucial block cipher. In 2002, a few new analytical recommendations have been advised which can have a dramatic influence at the protection of the AES. present analytical ideas for block ciphers rely seriously on a statistical technique, while those new recommendations are algebraic in nature. Algebraic points of the complex Encryption commonplace, showing 5 years after booklet of the AES, provides the state-of-the-art for using such algebraic innovations in interpreting the AES. the first viewers for this paintings comprises educational and researchers in cryptology; the e-book can be appropriate for advanced-level scholars.

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Extra resources for Algebraic Aspects of the Advanced Encryption Standard (Advances in Information Security)

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5. Varieties and Grobner Bases A large part of this monograph is concerned with expressing an AES encryption as a system of polynomial equations and considering methods of solution for such equations. In this section, we give a brief overview of the basic concepts used to analyse such equation systems. Varieties An affine subset of a vector space V^ is a cosct or translate C/ + u of some subspacc U < V. The affine space based on V is the geometrical space given by considering certain geometrical properties of the affine subsets of V [58].

T h e subset ,4' C ^ is a subalgebra of A if A! is an algebra in its own right, and A' is an ideal subalgebra if it is also an ideal of the ring A. We can also classify mappings between two algebras in the usual way, so an algebra homomorphism is a mapping that is both a ring homomorphism and a vector space homomorphism. 55 The ring of polynomials F [ a ; i , . . 40). Thus F [ x i , . . ,a:„] forms an F-algebra, known as a polynomial algebra. 47). Matrix multiplication is an associative bilinear mapping on yW„(F).

2. The GF(2)-linear mapping on the entire state space is thus given by a 128x128 matrix L over GF(2), where L is a block diagonal matrix with blocks given by this circulant 8 x 8 matrix. Sliif tRows a n d MixColumns o p e r a t i o n s T h e Shif tRows operation is based on the rotation of rows of the state array. 2 V0 0 0 0 \ 0 0 R^ By re-ordering the rows and columns of this matrix, we can obtain a 16x16 matrix R over F that represents the Shif tRows operation with respect to the standard state array ordering by column.

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