High-speed KATAN ciphers on-a-chip

Fatma M. Qatan*, Issam W. Damaj

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Security in embedded systems has become a main requirement in modern electronic devices. The demand for low-cost and highly secure cryptographic algorithms is increasingly growing in fields such as mobile telecommunications, handheld devices, etc. In this paper, we analyze and evaluate the development of cheap and relatively fast hardware implementations of the KATAN family of block ciphers. KATAN is a family of six hardware oriented block ciphers. All KATAN ciphers share an 80-bit key and have 32, 48, or 64-bit blocks. We use VHDL under Altera Quartus in conjunction with ModelSim to implement and analyze our hardware designs. The developed designs are mapped onto high-performance Field Programmable Gate Arrays. We compare our findings with similar hardware implementations and C software versions of the algorithms. The performance analysis of the C implementations is done using Intel Vtune Amplifier running on Dell precision T7500 with its dual quad-core Xeon processor and 24 GB of RAM. The obtained results show better performance when compared with existing hardware and software implementations.

Original languageEnglish
Title of host publication2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012
DOIs
Publication statusPublished - 20 Dec 2012
Externally publishedYes
Event2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012 - Sharjah, United Arab Emirates
Duration: 18 Dec 201220 Dec 2012

Publication series

Name2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012

Conference

Conference2012 International Conference on Computer Systems and Industrial Informatics, ICCSII 2012
Country/TerritoryUnited Arab Emirates
CitySharjah
Period18/12/1220/12/12

Keywords

  • Cryptography
  • Hardware Design
  • High Performance Computing
  • Parallelization
  • Performance

Cite this