4.5 Article

How to securely outsource the inversion modulo a large composite number

Journal

JOURNAL OF SYSTEMS AND SOFTWARE
Volume 129, Issue -, Pages 26-34

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jss.2017.04.015

Keywords

Cloud computing; Outsource-secure algorithms; Modular inversion; Chinese remainder theorem

Funding

  1. National Natural Science Foundation of China [61572267, 61272425, 61402245]
  2. PAPD
  3. CICAEET

Ask authors/readers for more resources

Modular inversion is one of the most basic computations in algorithmic number theory. When it comes to cryptosystems, this computation is very time-consuming since the modulus is generally a large number. It is unrealistic for some devices with limited computation capability (e.g. mobile devices and IC cards) to conduct such a time-consuming computation. In this paper, we investigate how to securely outsource the inversion modulo a large composite number. Based on the Chinese Remainder Theorem (CRT), we design a secure outsourcing algorithm for inversion modulo a large composite number with two known prime factors for the client. Besides the privacy of the number and its modular inversion, our algorithm also protects the privacy of the modulus. We can verify the correctness of the result with probability 1. Traditionally, the complexity of modular inversion for a l-bit modulus is 0(l(3)). By leveraging the cloud, our algorithm reduces the complexity to 0(l(2)) on the client side. Also, we prove the security of our algorithm based on the one-malicious version of two untrusted program model (one-malicious model). We conduct several experiments to demonstrate the validity and the practicality of our proposed algorithm. In appendix, we show that our proposed algorithm can be extended and applied in the secret key generation of RSA algorithm on the resource-constrained devices. (C) 2017 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available