Issue |
Wuhan Univ. J. Nat. Sci.
Volume 26, Number 6, December 2021
|
|
---|---|---|
Page(s) | 489 - 494 | |
DOI | https://doi.org/10.1051/wujns/2021266489 | |
Published online | 17 December 2021 |
Computer Science
CLC number: TP391
Quantum Algorithm for Attacking RSA Based on Fourier Transform and Fixed-Point
1
School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Hubei, China
2
School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, Hubei, China
† To whom correspondence should be addressed. E-mail: liss@whu.edu.cn
Received:
28
September
2021
Shor in 1994 proposed a quantum polynomial-time algorithm for finding the order r of an element a in the multiplicative group Zn*, which can be used to factor the integer n by computing and hence break the famous RSA cryptosystem. However, the order r must be even. This restriction can be removed. So in this paper, we propose a quantum polynomial-time fixed-point attack for directly recovering the RSA plaintext M from the ciphertext C, without explicitly factoring the modulus n. Compared to Shor’s algorithm, the order r of the fixed-point C for RSA(e, n) satisfying does not need to be even. Moreover, the success probability of the new algorithm is at least and higher than that of Shor’s algorithm, though the time complexity for both algorithms is about the same.
Key words: information security / cryptology / RSA fixed-point / quantum computing
Biography: WANG Yahui, female, Ph. D., research direction: quantum computing and cryptography. E-mail: wangyh_ecc@whu.edu.cn
Foundation item: Supported by Nanhu Scholars Program for Young Scholars of Xinyang Normal University
© Wuhan University 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.