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Integer factorization for RSA cryptosystem under a PVM environment

机译:PVM环境下RSA密码系统的整数分解

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The security of some of these cryptosystems such as the Rivest-Shamir-Adelman (RSA) cryptosystem depends on the difficulty of integer factorization problem. In recent years, with the computation capability brought by modern cluster computing technique, the integer factorization has become much easier than before. We here use the cluster computing technique and fast integer factorization algorithms to show the computation power and factorization capability. This paper will incorporate the Miller-Rabin primality test method and several famous factorization algorithms, including the Pollard p-1 method, elliptic curve method (ECM), and multiple polynomial quadratic sieve (MPQS) algorithms in the parallel virtual machine (PVM) environment. Based on the experimental results, we can find out we can improve integer factorization performance by using modern cluster computing technique, moreover, as some of the algorithms are very well operated and suited to parallel computing environment, our integer factorization implementation achieves additional performance improvement. We believe that the PC cluster computing technology has ushered in low-cost commodity supercomputing as a new parallel computing era, supercomputer is no longer the only solution to solve complex problems in the future.
机译:这些密码系统(例如Rivest-Shamir-Adelman(RSA)密码系统)的安全性取决于整数分解问题的难度。近年来,随着现代集群计算技术带来的计算能力,整数分解已变得比以前容易得多。我们在这里使用群集计算技术和快速整数分解算法来显示计算能力和分解能力。本文将在并行虚拟机(PVM)环境中结合Miller-Rabin素数测试方法和几种著名的因式分解算法,包括Pollard p-1方法,椭圆曲线方法(ECM)和多项式二次筛(MPQS)算法。 。根据实验结果,我们发现使用现代集群计算技术可以提高整数分解的性能,此外,由于某些算法运行良好且适合于并行计算环境,因此我们的整数分解实现可实现其他性能改进。我们认为,PC集群计算技术已经将低成本商品超级计算引入了一个新的并行计算时代,超级计算机不再是将来解决复杂问题的唯一解决方案。

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