TY - GEN
T1 - Parallel scheme in multicore processors for video authentication based on watermarking
AU - Molina-Garcia, Javier
AU - Ponomaryov, Volodymyr
AU - Reyes-Reyes, Rogelio
AU - Cruz-Ramos, Clara
AU - Sharonov, Valerii
AU - Kyrychenko, Volodymyr
AU - Pechenin, Oleksandr
AU - Totsky, Alexander
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/9
Y1 - 2018/7/9
N2 - Currently, with the accelerated advance of information technologies, the use of digital video has been constantly growing, which has been applied in multiple fields of research like security, medicine, autonomous navigation, etc. Likewise, digital video processing tools have emerged, which can be used for beneficial or malicious purposes. Therefore, it has become a necessity to protect the integrity of digital video. During the last years, different schemes have been developed, which can detect the alterations in digital files, but the main disadvantage of these systems is that few of them are implemented in digital video, because these files require computational equipment with a high processing capacity. The present study presents a parallel framework for the detection of alterations in digital video, based on the embedding of a watermark in the frequency domain using the Discrete Wavelet Transform (DWT). The developed scheme appears to demonstrate full advantage of the processing capacity of each computer device. Also, the proposed method is developed to work in parallel on devices with multi-core processors. During the evaluation of the system, the PSNR (Peak Signal-to-Noise Ratio) was calculated to evaluate the quality of the protected file. The obtained results show that the protected videos are not visually degraded during the embedding of the watermark and the detection of alterations is performed correctly. Similarly, there is a significant reduction in processing time values when the algorithm is executed on computer with multi-core processors.
AB - Currently, with the accelerated advance of information technologies, the use of digital video has been constantly growing, which has been applied in multiple fields of research like security, medicine, autonomous navigation, etc. Likewise, digital video processing tools have emerged, which can be used for beneficial or malicious purposes. Therefore, it has become a necessity to protect the integrity of digital video. During the last years, different schemes have been developed, which can detect the alterations in digital files, but the main disadvantage of these systems is that few of them are implemented in digital video, because these files require computational equipment with a high processing capacity. The present study presents a parallel framework for the detection of alterations in digital video, based on the embedding of a watermark in the frequency domain using the Discrete Wavelet Transform (DWT). The developed scheme appears to demonstrate full advantage of the processing capacity of each computer device. Also, the proposed method is developed to work in parallel on devices with multi-core processors. During the evaluation of the system, the PSNR (Peak Signal-to-Noise Ratio) was calculated to evaluate the quality of the protected file. The obtained results show that the protected videos are not visually degraded during the embedding of the watermark and the detection of alterations is performed correctly. Similarly, there is a significant reduction in processing time values when the algorithm is executed on computer with multi-core processors.
KW - DWT
KW - Discrete Wavelet Transform
KW - parallel computing
KW - tamper detection
KW - video authentication
KW - watermarking
UR - http://www.scopus.com/inward/record.url?scp=85050699575&partnerID=8YFLogxK
U2 - 10.1109/DESSERT.2018.8409207
DO - 10.1109/DESSERT.2018.8409207
M3 - Contribución a la conferencia
AN - SCOPUS:85050699575
T3 - Proceedings of 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
SP - 625
EP - 630
BT - Proceedings of 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
Y2 - 24 May 2018 through 27 May 2018
ER -