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Low-Complexity Bit-Parallel Multiplier over GF(2$^m$) Using Dual Basis Representation
作者姓名:Chiou-Yng Lee  Jenn-Shyong Horng  and I-Chang Jou
作者单位:[1]Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology Taoyuan County 333 [2]Dcpartment of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology Kaohsiung
基金项目:The work was supported in part by the "National Science Council" under Grant No. NSC-94-2218-E-262-003. Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments, which improved the revised version of this paper.
摘    要:Recently, cryptographic applications based on finite fields have attracted much attention. The most demanding finite field arithmetic operation is multiplication. This investigation proposes a new multiplication algorithm over GF(2^m) using the dual basis representation. Based on the proposed algorithm, a parallel-in parallel-out systolic multiplier is presented, The architecture is optimized in order to minimize the silicon covered area (transistor count). The experimental results reveal that the proposed bit-parallel multiplier saves about 65% space complexity and 33% time complexity as compared to the traditional multipliers for a general polynomial and dual basis of GF(2^m).

关 键 词:内积  双重基础  Galois场GF(2^m)  低复杂性  计算机技术
收稿时间:2005-06-20
修稿时间:2005-06-202006-02-15

Low-Complexity Bit-Parallel Multiplier over GF(2m) Using Dual Basis Representation
Chiou-Yng Lee,Jenn-Shyong Horng,and I-Chang Jou.Low-Complexity Bit-Parallel Multiplier over GF(2$^m$) Using Dual Basis Representation[J].Journal of Computer Science and Technology,2006,21(6):887-892.
Authors:Chiou-Yng Lee  Jenn-Shyong Horng  I-Chang Jou
Affiliation:1Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology Taoyuan County 333;2 Dcpartment of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology Kaohsiung
Abstract:Recently, cryptographic applications based on finite fields have attracted much attention. The most demanding finite field arithmetic operation is multiplication. This investigation proposes a new multiplication algorithm over GF(2m) using the dual basis representation. Based on the proposed algorithm, a parallel-in parallel-out systolic multiplier is presented. The architecture is optimized in order to minimize the silicon covered area (transistor count). The experimental results reveal that the proposed bit-parallel multiplier saves about 65% space complexity and 33% time complexity as compared to the traditional multipliers for a general polynomial and dual basis of GF(2m).
Keywords:bit-parallel systolic multiplier  inner product  dual basis  Galois field GF(2m)
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