TY - GEN
T1 - Parallel implementation of rotation visual cryptography on GPU using CUDA
AU - Mayya, Veena
AU - Nayak, Aparna
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
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.
UR - https://www.scopus.com/pages/publications/85033597683
UR - https://www.scopus.com/pages/publications/85033597683#tab=citedBy
U2 - 10.1145/3133264.3133280
DO - 10.1145/3133264.3133280
M3 - Conference contribution
AN - SCOPUS:85033597683
VL - Part F131200
T3 - ACM International Conference Proceeding Series
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 -