A partial ligt-weight image encryption scheme

Jawad Ahmad, Ahsen Tahir, Jan Sher Khan, Muazzam A. Khan, Fadia Ali Khan, Arshad, Zeeshan Habib

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

9 Citations (Scopus)

Abstract

Due to greater network capacity and faster data speed, fifth generation (5G) technology is expected to provide a huge improvement in Internet of Things (IoTs) applications, Augmented Virtual Reality (AR/VR) technologies, and Machine Type Communications (MTC). Consumer will be able to send/receive high quality multimedia data. For the protection of sensitive multimedia data, a large number of encryption algorithms are available, however, these encryption schemes does not provide light-weight encryption solution for real-time application requirements. This paper proposes a new multi-chaos computational efficient encryption for digital images. In the proposed scheme, plaintext image is transformed using Lifting Wavelet Transform (LWT) and only one-fourth part of the transformed image is encrypted using light-weight Chebyshev and Intertwining maps. Both chaotic maps were chaotically coupled for the confusion and diffusion processes which further enhances the image security. Encryption/decryption speed and other security measures such as correlation coefficient, entropy, Number of Pixels Change Rate (NPCR), contrast, energy, homogeneity confirm the superiority of the proposed light-weight encryption scheme.

Original languageEnglish
Title of host publication2019 UK/China Emerging Technologies, UCET 2019
PublisherIEEE
ISBN (Electronic)9781728127972
DOIs
Publication statusPublished - 24 Oct 2019
Event2019 UK/China Emerging Technologies, UCET 2019 - Glasgow, Scotland, United Kingdom
Duration: 21 Aug 201922 Aug 2019

Conference

Conference2019 UK/China Emerging Technologies, UCET 2019
Country/TerritoryUnited Kingdom
CityGlasgow, Scotland
Period21/08/1922/08/19

Keywords

  • chaos
  • Chebyshew map
  • entropy
  • information security
  • multimedia encryption

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Health Informatics
  • Instrumentation

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