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On the improvement of Fermat factorization using a continued fraction technique

机译:关于使用连续分数技术改进费马分解的方法

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Although Integer Factorization Problem (IFP) is one of the most difficult problems in the world due to the limited computational capability, there exist some vulnerable integers which are factorable by the development of cloud computing. For example, given an integer N = pq, which is a product of two primes, it is hard to determine the prime factors p and q efficiently. However, for the suitable size of a number N, Fermat's algorithm may be one of the simplest method for solving it. In this paper, a method called EPF for estimating the prime factors of a composite number is proposed. We use the technique of continued fractions to output two integers, p_E + q_E and p_E · q_E, which are close to p + q and p · q, respectively. Furthermore, we show that EPF can be adopted to reduce the loop count in Fermat's algorithm before factoring a composite number. The effect depends on the size of the prime factor. We believe that there are still other applications as well wherein EPF can be used.
机译:尽管由于计算能力有限,整数分解问题(IFP)是世界上最困难的问题之一,但仍存在一些易受攻击的整数,这些整数可以通过云计算的发展来分解。例如,给定整数N = pq,它是两个质数的乘积,很难有效地确定质数因子p和q。但是,对于N的合适大小,费马算法可能是解决该问题的最简单方法之一。在本文中,提出了一种称为EPF的方法来估计复合数的素数。我们使用连续分数的技术来输出两个整数p_E + q_E和p_E·q_E,分别接近p + q和p·q。此外,我们表明,在考虑复合数之前,EPF可用于减少Fermat算法中的循环计数。效果取决于素数的大小。我们认为,还有其他可以使用EPF的应用程序。

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