On the Improvement of Wiener Attack on RSA with Small Private Exponent

Joint Authors

Sun, H. M.
Chen, Chien-Ming
Wu, Mu-En
Lin, Yue-Hsun

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-27

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

RSA system is based on the hardness of the integer factorization problem (IFP).

Given an RSA modulus N = p q , it is difficult to determine the prime factors p and q efficiently.

One of the most famous short exponent attacks on RSA is the Wiener attack.

In 1997, Verheul and van Tilborg use an exhaustive search to extend the boundary of the Wiener attack.

Their result shows that the cost of exhaustive search is 2 r + 8 bits when extending the Weiner's boundary r bits.

In this paper, we first reduce the cost of exhaustive search from 2 r + 8 bits to 2 r + 2 bits.

Then, we propose a method named EPF.

With EPF, the cost of exhaustive search is further reduced to 2 r - 6 bits when we extend Weiner's boundary r bits.

It means that our result is 214 times faster than Verheul and van Tilborg's result.

Besides, the security boundary is extended 7 bits.

American Psychological Association (APA)

Wu, Mu-En& Chen, Chien-Ming& Lin, Yue-Hsun& Sun, H. M.. 2014. On the Improvement of Wiener Attack on RSA with Small Private Exponent. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050508

Modern Language Association (MLA)

Wu, Mu-En…[et al.]. On the Improvement of Wiener Attack on RSA with Small Private Exponent. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050508

American Medical Association (AMA)

Wu, Mu-En& Chen, Chien-Ming& Lin, Yue-Hsun& Sun, H. M.. On the Improvement of Wiener Attack on RSA with Small Private Exponent. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050508

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050508