Speeding up the Lattice Factoring Method : Special Section on Cryptography and Information Security
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概要
- 論文の詳細を見る
Recently, Boneh et al. Proposed an interesting algorithm for factoring integers, the so-called LFM (Lattice Factoring Method). It is based on the techniques of Coppersmith and Howgrave-Graham, namely, it cleverly employs the LLL-algorithm. The LFM is for integers of the form N = p^rq, and is very effective for large r. That is, it runs in polynomial time in log N when r is on the order of log p. We note that for small r, e.g. N = pq, p^2q, it is an exponential time algorithm in log N. In this paper, we propose a method for speeding up the LFM from a practical viewpoint. Also, theoretical considerations and experimental results are provided that show that the proposed algorithm offers shorter tunning time than the original LFM.
- 社団法人電子情報通信学会の論文
- 2001-01-01
著者
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Kanayama Naoki
The Author Is With The Graduate School Of Science & Engineering Waseda University
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UCHIYAMA Shigenori
The authors are with NTT Information Sharing Plat-form Laboratories, NTT Corporation
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Uchiyama Shigenori
The Author Is With Ntt Laboratories
関連論文
- A New Factoring Method of Integers N = p^r x q for Large r(Special Section on Discrete Mathematics and Its Applications)
- Speeding up the Lattice Factoring Method : Special Section on Cryptography and Information Security