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 language | English |
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Title of host publication | 2019 UK/China Emerging Technologies, UCET 2019 |
Publisher | IEEE |
ISBN (Electronic) | 9781728127972 |
DOIs | |
Publication status | Published - 24 Oct 2019 |
Event | the 4th International Conference on UK-China Emerging Technologies - University of Glasgow, Glasgow, United Kingdom Duration: 21 Aug 2019 → 22 Aug 2019 https://www.gla.ac.uk/events/conferences/ucet2019/ (Link to conference website) |
Conference
Conference | the 4th International Conference on UK-China Emerging Technologies |
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Abbreviated title | UCET 2019 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 21/08/19 → 22/08/19 |
Internet address |
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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