Energy model for light-weight block ciphers for WBAN applications

Bassam J. Mohd, Thaier Hayajneh, Muhammad Z. Shakir, Khalid A. Qaraqe, Athanasios V. Vasilakos

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

Abstract

Wireless body area network (WBAN) devices are resource-constraint devices, in particular for energy. Therefore, it is essential to select the cipher implementation with minimum energy consumption. Determining optimum cipher implementation is an arduous task due to lack of uniform platform for comparison and deviations in measuring and reporting the performance metrics. Hence, it is important to model the performance of the cipher design. This article presents a novel energy model for light-weight block cipher hardware implementation based on the design parameters. The model usage is then demonstrated by studying the energy trend versus the number of rounds. It shows that there exists an optimum number of rounds per cycle to minimize energy.
Original languageEnglish
Title of host publication2014 EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth)
PublisherIEEE
Number of pages4
ISBN (Electronic)9781631900143
ISBN (Print)9781479950249
DOIs
Publication statusPublished - 10 Sep 2015
Externally publishedYes
Event2014 4th International Conference on Wireless Mobile Communication and Healthcare: Transforming healthcare through innovations in mobile and wireless technologies - Athens, Greece
Duration: 3 Nov 20145 Nov 2014

Conference

Conference2014 4th International Conference on Wireless Mobile Communication and Healthcare
Abbreviated titleMobihealth 2014
CountryGreece
CityAthens
Period3/11/145/11/14

Keywords

  • WBAN
  • security
  • wireless sensor networks
  • encryption
  • cipher model

Cite this

Mohd, B. J., Hayajneh, T., Shakir, M. Z., Qaraqe, K. A., & Vasilakos, A. V. (2015). Energy model for light-weight block ciphers for WBAN applications. In 2014 EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth) IEEE. https://doi.org/10.1109/MOBIHEALTH.2014.7250500