• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.12
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• pp.29-40
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• 2008

The efficient hardware design of finite field multiplication is an very important research topic for and efficient $f(x)=x^n+x^k+1$ implementation of cryptosystem based on arithmetic in finite field GF($2^n$). We used special generating trinomial to construct a bit-parallel multiplier over finite field with low space complexity. To reduce processing time, The hardware architecture of proposed multiplier is similar with existing Mastrovito multiplier. The complexity of proposed multiplier is depend on the degree of intermediate term $x^k$ and the space complexity of the new multiplier is $2k^2-2k+1$ lower than existing multiplier's. The time complexity of the proposed multiplier is equal to that of existing multiplier or increased to $1T_X(10%{\sim}12.5%$) but space complexity is reduced to maximum 25%.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.4
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• pp.227-233
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• 2016

Efficient finite field arithmetic is essential for fast implementation of error correcting codes and cryptographic applications. Among the arithmetic operations over finite fields, the multiplication is one of the basic arithmetic operations. Therefore an efficient design of a finite field multiplier is required. In this paper, two new bit-parallel systolic multipliers for $GF(2^m)$ fields defined by AOP(all-one polynomial) have proposed. The proposed multipliers have a little bit greater space complexity but save at least 22% area complexity and 13% area-time (AT) complexity as compared to the existing multipliers using AOP. As compared to related works, we have shown that our multipliers have lower area-time complexity, cell delay, and latency. So, we expect that our multipliers are well suited to VLSI implementation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.2
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• pp.105-111
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• 2006

Cryptographic application and coding theory require operations in finite field $GF(2^m)$. In such a field, the area and time complexity of implementation estimate by memory and time delay. Therefore, the effort for constructing an efficient multiplier in finite field have been proceeded. Massey-Omura proposed a multiplier that uses normal bases to represent elements $CH(2^m)$ [11] and Agnew at al. suggested a sequential multiplier that is a modification of Massey-Omura's structure for reducing the path delay. Recently, Rayhani-Masoleh and Hasan and S.Kwon at al. suggested a area efficient multipliers for modifying Agnew's structure respectively[2,3]. In [2] Rayhani-Masoleh and Hasan proposed a modified multiplier that has slightly increased a critical path delay from Agnew at al's structure. But, In [3] S.Kwon at al. proposed a modified multiplier that has no loss of a time efficiency from Agnew's structure. In this paper we will propose a multiplier by modifying Rayhani-Masoleh and Hassan's structure and the area-time complexity of the proposed multiplier is exactly same as that of S.Kwon at al's structure for type-II optimal normal basis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.45-50
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• 2008

The choice of an irreducible polynomial and the representation of elements have influence on the efficiency of operators for finite fields. This paper suggests two serial multiplier for the extention field GF$(p^n)$ where p is odd prime. A serial multiplier using an irreducible binomial consists of (2n+5) resisters, 2 MUXs, 2 multipliers of GF(p), and 1 adder of GF(p). It obtains the mulitplication result after $n^2+n$ clock cycles. A serial multiplier using an AOP consists of (2n+5) resisters, 1 MUX, 1 multiplier of CF(p), and 1 adder of GF(p). It obtains the mulitplication result after $n^2$+3n+2 clock cycles.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.56-63
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• 2001

In this paper, The GF(216) multiplier using its subfields GF(24) is designed. This design can be used to construct a sequential logic multiplier using a bit-parallel multiplier for its subfield. A finite field serial multiplier using parallel multiplier of subfield takes a less time than serial multiplier and a smaller complexity than parallel multiplier. It has an advatageous feature. A feature between circuit complexity and delay time is compared and simulated using C language.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.102-109
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• 2001

In this paper, a new multiplication algorithm which describes the methods of constructing a multiplierover GF(p$^{m}$ ) was presented. For the multiplication of two elements in the finite field, the multiplication formula was derived. Multiplier structures which can be constructed by this formula were considered as well. For example, both GF(3) multiplication module and GF(3) addition module were realized by current-mode CMOS technology. By using these operation modules the basic cell used in GF(3$^{m}$ ) multiplier was realized and verified by SPICE simulation tool. Proposed multipliers consisted of regular interconnection of simple cells use regular cellular arrays. So they are simply expansible for the multiplication of two elements in the finite field increasing the degree m.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.4
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• pp.81-87
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• 1989

A cellular array multiplier for performing the multiplication of two elements in the finite field GF($2^m$) is presented in this paper. This multiplier is consisted of three operation part ; the multiplicative operation part, the modular operation part, and the primitive irreducible polynomial operation part. The multiplicative operation part and the modular operation part are composed by the basic cellular arrays designed AND gate and XOR gate. The primitive iirreducible operation part is constructed by XOR gates, D flip-flop circuits and a inverter. The multiplier presented here, is simple and regular for the wire routing and possesses the properties of concurrency and modularity. Also, it is expansible for the multiplication of two elements in the finite field increasing the degree m and suitable for VLSI implementation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2154-2162
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• 2009

This paper describes a scalar multiplier for Elliptic curve cryptography for smart card security. The scaler multiplier has 163-bits key size which supports the specifications of smart card standard. To reduce the computational complexity of scala multiplication on finite field, the non-adjacent format (NAF) conversion algorithm which is based on complementary recoding is adopted. The scalar multiplier core synthesized with a 0.35-${\mu}m$ CMOS cell library has 32,768 gates and can operate up to 150-MHz@3.3-V. It can be used in hardware design of Elliptic curve cryptography processor for smartcard security.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.2
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• pp.49-61
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• 2009

Finite Field multiplication operation is one of the most important operations in the finite field arithmetic. Recently, Fan and Dai introduced a Shifted Polynomial Basis(SPB) and construct a non-pipeline bit-parallel multiplier for $F_{2^n}$. In this paper, we propose a new bit-parallel shifted polynomial basis type I and type II multipliers for $F_{2^n}$ defined by an irreducible trinomial $x^{n}+x^{k}+1$. The proposed type I multiplier has more efficient the space and time complexity than the previous ones. And, proposed type II multiplier have a smaller space complexity than all previously SPB multiplier(include our type I multiplier). However, the time complexity of proposed type II is increased by 1 XOR time-delay in the worst case.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.3
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• pp.41-48
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• 2004

Finite field multiplication and division are important arithmetic operation in error-correcting codes and cryptosystems. The elements of the finite field GF($2^m$) are represented by bases with a primitive polynomial of degree m over GF(2). We can be easily realized for multiplication or computing multiplicative inverse in GF($2^m$) based on a normal basis representation. The number of product terms of logic function determines a complexity of the Messay-Omura multiplier. A normal basis exists for every finite field. It is not easy to find the optimal normal element for a given primitive polynomial. In this paper, the generating method of normal basis is investigated. The normal bases whose product terms are less than other bases for multiplication in GF($2^m$) are found. For each primitive polynomial, a list of normal elements and number of product terms are presented.