We presents a method to detect video
tampering and distinguish it from common video processing operations, such as
recompression, noise, and brightness increase, using a practical watermarking
scheme for real-time authentication of digital video. In our method, the
watermark signals represent the macro block's and frame’s indices, and are embedded into the nonzero quantized
discrete cosine transform value of blocks, mostly the last nonzero values, enabling our method to detect spatial,
temporal, and spatiotemporal tampering. Our method can be easily configured to
adjust transparency, robustness, and capacity of the system according to the
specific application at hand. In addition, our method takes advantage of
content-based cryptography and increases the security of the system.
Fig.Embedding and detecting flow chart
Tamper Detection is the ability of a device to sense that an active attempt to compromise
the device integrity or the data associated with the device is in progress; the
detection of the threat may enable the device to initiate appropriate defensive
actions.
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