• Journal of Korea Society of Industrial Information Systems
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• v.10 no.3
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• pp.57-63
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• 2005

Kim and Fenn et al. proposed two modular AB multipliers based on LFSR(Linear Feedback Shift Register) architecture. These multipliers use AOP, which has all coefficients with '1', as an irreducible polynomial. Thereby, they have good hardware complexity compared to the previous architectures. This paper proposes a modular $AB^2$ multiplier based on LFSR architecture and a modular exponentiation architecture to improve the hardware complexity of the Kim's. Our multiplier also use the AOP as an irreducible polynomial as the Kim architecture. Simulation result shows that our multiplier reduces the hardware complexity about $50\%$ in the perspective of XOR and AND gates compared to the Kim's. The architecture could be used as a basic block to implement public-key cryptosystems.

• 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 Institute of Electronics Engineers of Korea SC
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• v.40 no.3
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• pp.145-151
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• 2003

This study focuses on the hardware implementation of fast and low-complexity multiplier over GF(2$^{m}$ ). Finite field multiplication can be realized in two steps: polynomial multiplication and modular reduction using the irreducible polynomial and we will treat both operation, separately. Polynomial multiplicative operation in this Paper is based on the Permestzi's algorithm, and irreducible polynomial is defined AOP. The realization of the proposed GF(2$^{m}$ ) multipleker-based multiplier scheme is compared to existing multiplier designs in terms of circuit complexity and operation delay time. Proposed multiplier obtained have low circuit complexity and delay time, and the interconnections of the circuit are regular, well-suited for VLSI realization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.9
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• pp.1538-1544
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• 2006

This paper proposes a non-systolic parallel $AB^2+C$ Computing unit based on irreducible AOP order m of $GF(2^m)$. Proposed circuit have only AND gates and EX-OR gates, composes of cyclic shift operation, multiplication operation power operation power-sum operation and addition operation using a merry irreducible AOP. Suggested operating a method have an advantage high speed data processing, low power and integration because of only needs AND gates and EX-OR gates. $AB^2+C$ computing unit has delay-time of $T_A+(1+[log^m_2])T_X$.

• 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 KIISE:Computer Systems and Theory
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• v.31 no.1_2
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• pp.1-9
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• 2004

The important arithmetic operations over finite fields include exponentiation, division, and inversion. An exponentiation operation can be implemented using a series of squaring and multiplication operations using a binary method, while division and inversion can be performed by the iterative application of an AB$^2$ operation. Hence, it is important to develop a fast algorithm and efficient hardware for this operations. In this paper presents new bit-serial architectures for the simultaneous computation of multiplication and squaring operations, and the computation of an $AB^2$ operation over $GF(2^m)$ generated by an irreducible AOP of degree m. The proposed architectures offer a significant improvement in reducing the hardware complexity compared with previous architectures, and can also be used as a kernel circuit for exponentiation, division, and inversion architectures. Furthermore, since the Proposed architectures include regularity and modularity, they can be easily designed on VLSI hardware and used in IC cards.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.3
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• pp.85-90
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• 2003

This paper proposes a modular multiplier based on LFSR (Linear Feedback Shift Register) architecture with efficient area complexity over GF(2/sup m/). At first, we examine the modular exponentiation algorithm and propose it's architecture, which is basic module for public-key cryptosystems. Furthermore, this paper proposes on efficient modular multiplier as a basic architecture for the modular exponentiation. The multiplier uses AOP (All One Polynomial) as an irreducible polynomial, which has the properties of all coefficients with '1 ' and has a more efficient hardware complexity compared to existing architectures.

• The KIPS Transactions:PartA
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• v.11A no.1
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• pp.1-10
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• 2004

A cellular array parallel multiplier with parallel-inputs and parallel-outputs for performing the multiplication of two polynomials in the finite fields GF$(2^m)$ is presented in this paper. The presented cellular way parallel multiplier consists of three operation parts: the multiplicative operation part (MULOP), the irreducible polynomial operation part (IPOP), and the modular operation part (MODOP). The MULOP and the MODOP are composed if the basic cells which are designed with AND Bates and XOR Bates. The IPOP is constructed by XOR gates and D flip-flops. This multiplier is simulated by clock period l${\mu}\textrm{s}$ using PSpice. The proposed multiplier is designed by 24 AND gates, 32 XOR gates and 4 D flip-flops when degree m is 4. In case of using AOP irreducible polynomial, this multiplier requires 24 AND gates and XOR fates respectively. and not use D flip-flop. The operating time of MULOP in the presented multiplier requires one unit time(clock time), and the operating time of MODOP using IPOP requires m unit times(clock times). Therefore total operating time is m+1 unit times(clock times). The cellular array parallel multiplier is simple and regular for the wire routing and have the properties of concurrency and modularity. Also, it is expansible for the multiplication of two polynomials in the finite fields with very large m.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.2
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• pp.45-52
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• 2002

In this contributions, we propose a new MSB(most significant bit) algorithm based on AOP(All One Polynomial) and two parallel semi-systolic architectures to computes $AB^2$over finite field $GF(2^m)$. The proposed architectures are based on standard basis and use the property of irreducible AOP(All One Polynomial) which is all coefficients of 1. The proposed parallel semi-systolic architecture(PSM) has the critical path of $D_{AND2^+}D_{XOR2}$ per cell and the latency of m+1. The modified parallel semi-systolic architecture(WPSM) has the critical path of $D_{XOR2}$ per cell and has the same latency with PSM. The proposed two architectures, PSM and MPSM, have a low latency and a small hardware complexity compared to the previous architectures. They can be used as a basic architecture for exponentiation, division, and inversion. Since the proposed architectures have regularity, modularity and concurrency, they are suitable for VLSI implementation. They can be used as a basic architecture for algorithms, such as the Diffie-Hellman key exchange scheme, the Digital Signature Algorithm(DSA), and the ElGamal encryption scheme which are needed exponentiation operation. The application of the algorithms can be used cryptosystem implementation based on elliptic curve.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.892-894
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• 2002

본 논문은 유한 체 GF(/2 sup m/)상에서 A$B^2$연산을 위해 AOP(All One Polynomial)에 기반한 새로운 MSB(Most Significant bit) 유선 알고리즘을 제시하고, 제시한 알고리즘에 기반하여 병렬 입출력 세미시스톨릭 구조를 제안한다. 제안된 구조는 표준기저(standard basis)에 기반하고 모듈라(modoular) 연산을 위해 다항식의 계수가 모두 1인 m차의 기약다항식 AOP를 사용한다. 제안된 구조에서 AND와 XOR게이트의 딜레이(deray)를 각각 /D sub AND$_2$/와/D sub XOR$_2$/라 하면 각 셀 당 임계경로는 /D sub AND$_2$+D sub XOR/이고 지연시간은 m+1이다. 제안된 구조는 기존의 구조보다 임계경로와 지연시간 면에서 보다 효율적이다. 또한 구조 자체가 정규성, 모듈성, 병렬성을 가지기 때문에 VLSI 구현에 효율적이다. 더욱이 제안된 구조는 유한 체상에서 지수 연산을 필요로 하는 Diffie-Hellman 키 교환 방식, 디지털 서명 알고리즘 및 EIGamal 암호화 방식과 같은 알고리즘을 위한 기본 구조로 사용할 수 있다. 이러한 알고리즘을 응용해서 타원 곡선(elliptic curve)에 기초한 암호화 시스템(Cryptosystem)의 구현에 사용될 수 있다.