Anglia Ruskin Research Online (ARRO)
Browse
Hazzaa_et_al_2018.pdf (683.61 kB)

Lightweight and Low-Energy Encryption Scheme for Voice over Wireless Devices

Download (683.61 kB)
conference contribution
posted on 2023-08-30, 15:44 authored by Firas Hazzaa, Sufian Yousef, Erika Sanchez, Marcian N. Cirstea
In this work, a novel lightweight and low energy encryption algorithm for voice over wireless networks is being developed and tested. The new encryption algorithm has to meet the QoS requirements of voice traffic and to be suitable for wireless devices. The goal of the research was to reduce the execution time and power consumption of the encryption process compared with the standard algorithm and at the same time at least to maintain or to increase its security level. The proposed algorithm employs similar methods with those used in the Advanced Encryption Standard algorithm (AES), with some changes and enhancements considering the limitations of wireless devices. The test results show significant improvements in new design metrics. A range of simulation scenarios are setup; testing data is analyzed to test delay, energy and security. Also, the comparison between the new algorithm and the standard one shows a significant amount of time and energy consumption reduction being achieved (approximately 35%), with good-level of complexity, making it more suitable for the wireless environment.

History

Page range

2992-2997

ISSN

2577-1647

Publisher

IEEE

Place of publication

Online

ISBN

978-1-5090-6684-1

Conference proceeding

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Name of event

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Location

Washington, D.C.

Event start date

2018-10-21

Event finish date

2018-10-23

File version

  • Accepted version

Language

  • eng

Legacy posted date

2018-10-26

Legacy creation date

2018-10-25

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC