A new dedicated 256-bit hash function

FORK-256

Deukjo Hong, Donghoon Chang, Jaechul Sung, Sangjin Lee, Seokhie Hong, Jaesang Lee, Dukjae Moon, Sungtaek Chee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

This paper describes a new software-efficient 256-bit hash function, FORK-256. Recently proposed attacks on MD5 and SHA-1 motivate a new hash function design. It is designed not only to have higher security but also to be faster than SHA-256. The performance of the new hash function is at least 30% better than that of SHA-256 in software. And it is secure against any known cryptographic attacks on hash functions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages195-209
Number of pages15
Volume4047 LNCS
Publication statusPublished - 2006 Aug 9
Event13th International Workshop on Fast Software Encryption, FSE 2006 - Graz, Austria
Duration: 2006 Mar 152006 Mar 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4047 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Workshop on Fast Software Encryption, FSE 2006
CountryAustria
CityGraz
Period06/3/1506/3/17

Fingerprint

Hash functions
Hash Function
Software
Attack
SHA-1

Keywords

  • 256-bit Hash Function
  • FORK-256

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Hong, D., Chang, D., Sung, J., Lee, S., Hong, S., Lee, J., ... Chee, S. (2006). A new dedicated 256-bit hash function: FORK-256. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4047 LNCS, pp. 195-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4047 LNCS).

A new dedicated 256-bit hash function : FORK-256. / Hong, Deukjo; Chang, Donghoon; Sung, Jaechul; Lee, Sangjin; Hong, Seokhie; Lee, Jaesang; Moon, Dukjae; Chee, Sungtaek.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4047 LNCS 2006. p. 195-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4047 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hong, D, Chang, D, Sung, J, Lee, S, Hong, S, Lee, J, Moon, D & Chee, S 2006, A new dedicated 256-bit hash function: FORK-256. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4047 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4047 LNCS, pp. 195-209, 13th International Workshop on Fast Software Encryption, FSE 2006, Graz, Austria, 06/3/15.
Hong D, Chang D, Sung J, Lee S, Hong S, Lee J et al. A new dedicated 256-bit hash function: FORK-256. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4047 LNCS. 2006. p. 195-209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Hong, Deukjo ; Chang, Donghoon ; Sung, Jaechul ; Lee, Sangjin ; Hong, Seokhie ; Lee, Jaesang ; Moon, Dukjae ; Chee, Sungtaek. / A new dedicated 256-bit hash function : FORK-256. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4047 LNCS 2006. pp. 195-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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