Arithmetic of Finite Fields: First International Workshop, by Robert W. Fitzgerald, Joseph L. Yucas (auth.), Claude

By Robert W. Fitzgerald, Joseph L. Yucas (auth.), Claude Carlet, Berk Sunar (eds.)

Particular factorizations, right into a manufactured from irreducible polynomials, over Fq of thecyclotomic polynomials Q2n(x) are given in [4] whilst q ≡ 1 (mod 4). The caseq ≡ three (mod four) is completed in [5]. right here we provide factorizations of Q2nr(x) the place ris top and q ≡ ±1 (mod r). particularly, this covers Q2n3(x) for all Fq ofcharacteristic now not 2, three. We practice this to get specific factorizations of the firstand moment type Dickson polynomials of order 2n3 and 2n3 − 1 respectively.Explicit factorizations of definite Dickson polynomials were used to computeBrewer sums [1]. yet our uncomplicated motivation is interest, to work out what factorsarise. Of curiosity then is how the generalized Dickson polynomials Dn(x, b) arisein the standards of the cyclotomic polynomials and the way the Dickson polynomialsof the 1st sort look within the elements of either different types of Dickson polynomials.

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Extra info for Arithmetic of Finite Fields: First International Workshop, WAIFI 2007, Madrid, Spain, June 21-22, 2007. Proceedings

Example text

However, the use of large tables is disadvantageous for embedded systems since they occupy scarce memory resources, increase cache pollution, and may open up potential vulnerabilities to cache-based side channel attacks [14]. The MixColumns transformation of AES can be defined as multiplication in an extension field of degree 4 over F28 [3]. Elements of this field are polynomials of degree ≤ 3 with coefficients in F28 . The coefficient field F28 is generated by the irreducible polynomial f (x) = x8 + x4 + x3 + x + 1 (0x11B in hexadecimal notation).

Addition, accumulation, cubing, and multiplication over F397 the dual-port RAM, manage all additions and cubings involved in the computation of the final exponentiation. 4 Results and Comparisons Our final exponentiation coprocessor was implemented on an Altera Cyclone II EP2C35F672C6 FPGA. According to place-and-route tools, this architecture requires 2787 LEs and 21 M4K memory blocks. Since the maximum frequency is 159 MHz, an exponentiation is computed within 26 μs and our timing constraint is fully met.

3 Hardware Implementation This section describes the implementation of Algorithm 6 on a Cyclone II EP2C35F672C6 FPGA whose smallest unit of configurable logic is called Logic Element (LE). Each LE includes a 4-input Look-Up Table (LUT), carry logic, and a programmable register. A Cyclone II EP2C35F672C6 device contains for instance 33216 LEs. Readers who are not familiar with Cyclone II devices should refer to [1] for further details. After studying addition, multiplication, and cubing over F3m , we propose a novel arithmetic operator able to perform these three operations and describe the architecture of a final exponentiation coprocessor based on such a processing element.

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