research-article

Chaotic image encryption on GPU

Authors:

P. L. V. Vihari,

Manoj MishraAuthors Info & Claims

CUBE '12: Proceedings of the CUBE International Information Technology Conference

Pages 753 - 758

https://doi.org/10.1145/2381716.2381860

Published: 03 September 2012 Publication History

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Abstract

Several Chaotic Image Encryption algorithms have been proposed recently due to increase in the need of secure image/multimedia transmissions over public network. Even though chaotic image encryption algorithms perform better compared to normal cryptographic encryption techniques but still most of the algorithms require considerable amount of time which would increase the overall processing time. In this research we concentrated to achieve speed-up of chaotic encryption algorithm. We have shown a CUDA-based implementation of chaotic image encryption algorithm using logistic map with NVIDIA's Tesla C2050 GPU device. Compared to original implementation on CPU, CUDA based implementation works has shown significant amount of improvement in terms of operational speed up.

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Cited By

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Bharadwaj BSaira Banu JMadiajagan MGhalib MCastillo OShankar A(2021)GPU-Accelerated implementation of a genetically optimized image encryption algorithmSoft Computing10.1007/s00500-021-06225-yOnline publication date: 30-Sep-2021
https://doi.org/10.1007/s00500-021-06225-y
You LYang EWang G(2020)A novel parallel image encryption algorithm based on hybrid chaotic maps with OpenCL implementationSoft Computing10.1007/s00500-020-04683-4Online publication date: 14-Jan-2020
https://doi.org/10.1007/s00500-020-04683-4
Lee WPhan RYap WGoi B(2018)SPRING: a novel parallel chaos-based image encryption schemeNonlinear Dynamics10.1007/s11071-018-4076-692:2(575-593)Online publication date: 20-Jan-2018
https://doi.org/10.1007/s11071-018-4076-6

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Chaotic image encryption on GPU

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Information

Published In

CUBE '12: Proceedings of the CUBE International Information Technology Conference

September 2012

879 pages

ISBN:9781450311854

DOI:10.1145/2381716

General Chair:
Vidyasagar Potdar
Curtin University, Australia
,
Program Chair:
Debajyoti Mukhopadhyay
Maharashtra Institute of Technology, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 September 2012

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CUBE '12

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CUOT

CUBE '12: CUBE International IT Conference & Exhibition

September 3 - 5, 2012

Pune, India

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Cited By

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Bharadwaj BSaira Banu JMadiajagan MGhalib MCastillo OShankar A(2021)GPU-Accelerated implementation of a genetically optimized image encryption algorithmSoft Computing10.1007/s00500-021-06225-yOnline publication date: 30-Sep-2021
https://doi.org/10.1007/s00500-021-06225-y
You LYang EWang G(2020)A novel parallel image encryption algorithm based on hybrid chaotic maps with OpenCL implementationSoft Computing10.1007/s00500-020-04683-4Online publication date: 14-Jan-2020
https://doi.org/10.1007/s00500-020-04683-4
Lee WPhan RYap WGoi B(2018)SPRING: a novel parallel chaos-based image encryption schemeNonlinear Dynamics10.1007/s11071-018-4076-692:2(575-593)Online publication date: 20-Jan-2018
https://doi.org/10.1007/s11071-018-4076-6

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Efficient implementation for MD5-RC4 encryption using GPU with CUDA

Performance Analysis of Efficient RSA Text Encryption Using NVIDIA CUDA-C and OpenCL