Key derivation function : the SCKDF scheme

Chuah, Chai Wen, Dawson, Edward, & Simpson, Leonie (2013) Key derivation function : the SCKDF scheme. IFIP Advances in Information and Communication Technology, 405, pp. 125-138.

[img] Accepted Version (PDF 510kB)
Administrators only | Request a copy from author

View at publisher


A key derivation function is used to generate one or more cryptographic keys from a private (secret) input value. This paper proposes a new method for constructing a generic stream cipher based key derivation function. We show that our proposed key derivation function based on stream ciphers is secure if the underlying stream cipher is secure. We simulate instances of this stream cipher based key derivation function using three eStream finalist: Trivium, Sosemanuk and Rabbit. The simulation results show these stream cipher based key derivation functions offer efficiency advantages over the more commonly used key derivation functions based on block ciphers and hash functions.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 62388
Item Type: Journal Article
Refereed: Yes
Additional Information: Security and Privacy Protection in Information Processing Systems. 28th IFIP TC 11 International Conference, SEC 2013, Auckland, New Zealand, July 8-10, 2013. Proceedings. Print ISBN 978-3-642-39217-7
Keywords: Key derivation function, cryptographic key, stream cipher
DOI: 10.1007/978-3-642-39218-4_10
ISSN: 1868-4238
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IFIP International Federation for Information Processing
Copyright Statement: The final publication is available at
Deposited On: 09 Sep 2013 05:53
Last Modified: 19 Jan 2014 00:52

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page