A new index calculus algorithm with complexity L(1/4 + o(1)) in small characteristic

57Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.

Abstract

In this paper, we describe a new algorithm for discrete logarithms in small characteristic. This algorithm is based on index calculus and includes two new contributions. The first is a new method for generating multiplicative relations among elements of a small smoothness basis. The second is a new descent strategy that allows us to express the logarithm of an arbitrary finite field element in terms of the logarithm of elements from the smoothness basis. For a small characteristic finite field of size Q = pn, this algorithm achieves heuristic complexity LQ(1/4 + o(1)). For technical reasons, unless is already a composite with factors of the right size, this is done by embedding double-struck FQ in a small extension with double-struck FQe with e ≤ 2⌈logpn⌉. © 2014 Springer-Verlag.

References Powered by Scopus

204Citations
23Readers
Get full text

The number field sieve in the medium prime case

68Citations
43Readers

Cited by Powered by Scopus

80Citations
50Readers
Get full text

NTRU prime: Reducing attack surface at low cost

77Citations
39Readers
Get full text
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Joux, A. (2014). A new index calculus algorithm with complexity L(1/4 + o(1)) in small characteristic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8282 LNCS, pp. 355–379). Springer Verlag. https://doi.org/10.1007/978-3-662-43414-7_18

Readers over time

‘13‘14‘15‘16‘17‘18‘19‘20‘21‘23‘24036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 18

64%

Professor / Associate Prof. 5

18%

Researcher 4

14%

Lecturer / Post doc 1

4%

Readers' Discipline

Tooltip

Computer Science 21

68%

Mathematics 8

26%

Physics and Astronomy 2

6%

Article Metrics

Tooltip
Mentions
References: 1

Save time finding and organizing research with Mendeley

Sign up for free
0