Efficient algorithm for tate pairing of composite order

Yutaro Kiyomura, Tsuyoshi Takagi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Boneh et al. proposed the new idea of pairing-based cryptography by using the composite order group instead of prime order group. Recently, many cryptographic schemes using pairings of composite order group were proposed. Miller's algorithm is used to compute pairings, and the time of computing the pairings depends on the cost of calculating the Miller loop. As a method of speeding up calculations of the pairings of prime order, the number of iterations of the Miller loop can be reduced by choosing a prime order of low Hamming weight. However, it is difficult to choose a particular composite order that can speed up the pairings of composite order. Kobayashi et al. proposed an efficient algorithm for computing Miller's algorithm by using a window method, called Window Miller's algorithm. We can compute scalar multiplication of points on elliptic curves by using a window hybrid binary-ternary form (w-HBTF). In this paper, we propose a Miller's algorithm that uses w-HBTF to compute Tate pairing efficiently. This algorithm needs a precomputation both of the points on an elliptic curve and rational functions. The proposed algorithm was implemented in Java on a PC and compared with Window Miller's Algorithm in terms of the time and memory needed to make their precomputed tables. We used the supersingular elliptic curve y2 = x3 + x with embedding degree 2 and a composite order of size of 2048-bit. We denote w as window width. The proposed algorithm with w = 6 = 2 · 3 was about 12.9% faster than Window Miller's Algorithm with w = 2 although the memory size of these algorithms is the same. Moreover, the proposed algorithm with w = 162 = 2 · 34 was about 12.2% faster than Window Miller's algorithm with w = 7.

Original languageEnglish
Pages (from-to)2055-2063
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number10
Publication statusPublished - Oct 1 2014

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics


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