Parallel implementation of rotation visual cryptography on GPU using CUDA

Veena Mayya; Aparna Nayak

doi:10.1145/3133264.3133280

Parallel implementation of rotation visual cryptography on GPU using CUDA

Veena Mayya, Aparna Nayak

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Visual cryptography scheme (VCS), is a cryptography technique where visual information is encrypted in such a way that decryption can be fulfilled with human visual system by direct stacking of the encrypted shares. Rotation visual cryptography is advanced technique of VCS where direct stacking of shares will not uphold the original image. In the existing literature, encryption techniques of VCS take longer time that can be substantially reduced by using CUDA. The proposed method uses CUDA for computationally intensive independent tasks performed on pixels during the rotation VCS. Parallel implementation of VCS will be faster and can be adopted in many real time applications that requires image security. Results show that the proposed method is 40-50 times faster than the existing encryption techniques.

Original language	English
Title of host publication	Proceedings of 2017 International Conference on Advances in Image Processing, ICAIP 2017
Publisher	Association for Computing Machinery (ACM)
Pages	62-65
Number of pages	4
Volume	Part F131200
ISBN (Electronic)	9781450352956
DOIs	https://doi.org/10.1145/3133264.3133280
Publication status	Published - 25-08-2017
Event	2017 International Conference on Advances in Image Processing, ICAIP 2017 - Bangkok, Thailand Duration: 25-08-2017 → 27-08-2017

Conference

Conference	2017 International Conference on Advances in Image Processing, ICAIP 2017
Country/Territory	Thailand
City	Bangkok
Period	25-08-17 → 27-08-17

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3133264.3133280

Cite this

@inproceedings{f58549263f27482daaf22c1c3bb04bf9,

title = "Parallel implementation of rotation visual cryptography on GPU using CUDA",

abstract = "Visual cryptography scheme (VCS), is a cryptography technique where visual information is encrypted in such a way that decryption can be fulfilled with human visual system by direct stacking of the encrypted shares. Rotation visual cryptography is advanced technique of VCS where direct stacking of shares will not uphold the original image. In the existing literature, encryption techniques of VCS take longer time that can be substantially reduced by using CUDA. The proposed method uses CUDA for computationally intensive independent tasks performed on pixels during the rotation VCS. Parallel implementation of VCS will be faster and can be adopted in many real time applications that requires image security. Results show that the proposed method is 40-50 times faster than the existing encryption techniques.",

author = "Veena Mayya and Aparna Nayak",

year = "2017",

month = aug,

day = "25",

doi = "10.1145/3133264.3133280",

language = "English",

volume = "Part F131200",

pages = "62--65",

booktitle = "Proceedings of 2017 International Conference on Advances in Image Processing, ICAIP 2017",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "2017 International Conference on Advances in Image Processing, ICAIP 2017 ; Conference date: 25-08-2017 Through 27-08-2017",

}

Mayya, V & Nayak, A 2017, Parallel implementation of rotation visual cryptography on GPU using CUDA. in Proceedings of 2017 International Conference on Advances in Image Processing, ICAIP 2017. vol. Part F131200, Association for Computing Machinery (ACM), pp. 62-65, 2017 International Conference on Advances in Image Processing, ICAIP 2017, Bangkok, Thailand, 25-08-17. https://doi.org/10.1145/3133264.3133280

TY - GEN

T1 - Parallel implementation of rotation visual cryptography on GPU using CUDA

AU - Mayya, Veena

AU - Nayak, Aparna

PY - 2017/8/25

Y1 - 2017/8/25

N2 - Visual cryptography scheme (VCS), is a cryptography technique where visual information is encrypted in such a way that decryption can be fulfilled with human visual system by direct stacking of the encrypted shares. Rotation visual cryptography is advanced technique of VCS where direct stacking of shares will not uphold the original image. In the existing literature, encryption techniques of VCS take longer time that can be substantially reduced by using CUDA. The proposed method uses CUDA for computationally intensive independent tasks performed on pixels during the rotation VCS. Parallel implementation of VCS will be faster and can be adopted in many real time applications that requires image security. Results show that the proposed method is 40-50 times faster than the existing encryption techniques.

AB - Visual cryptography scheme (VCS), is a cryptography technique where visual information is encrypted in such a way that decryption can be fulfilled with human visual system by direct stacking of the encrypted shares. Rotation visual cryptography is advanced technique of VCS where direct stacking of shares will not uphold the original image. In the existing literature, encryption techniques of VCS take longer time that can be substantially reduced by using CUDA. The proposed method uses CUDA for computationally intensive independent tasks performed on pixels during the rotation VCS. Parallel implementation of VCS will be faster and can be adopted in many real time applications that requires image security. Results show that the proposed method is 40-50 times faster than the existing encryption techniques.

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DO - 10.1145/3133264.3133280

M3 - Conference contribution

AN - SCOPUS:85033597683

VL - Part F131200

SP - 62

EP - 65

BT - Proceedings of 2017 International Conference on Advances in Image Processing, ICAIP 2017

PB - Association for Computing Machinery (ACM)

T2 - 2017 International Conference on Advances in Image Processing, ICAIP 2017

Y2 - 25 August 2017 through 27 August 2017

ER -

Parallel implementation of rotation visual cryptography on GPU using CUDA

Abstract

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All Science Journal Classification (ASJC) codes

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