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Digital Video Source Acquisition Forgery Technique Based on Pattern Sensor Noise Extraction
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DOI：10.1109/ACCESS.2019.2949839.png)
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摘要
En 中文
Digital camera of a smartphone is a component frequently used by people to capture a large number of videos, which can illustrate situations that compromise their presumption of innocence in court cases. Usually, these videos circulate on the Internet, prone to intentional manipulation to prosecute one person or exempt another. In this sense, digital videos are a matter of great importance for forensic science, because they can be useful to verify the authenticity of such evidence in judicial processes, helping to make sound decisions. However, it is possible that criminals or attackers know weaknesses of forensic techniques and use anti-forensic techniques to manipulate videos without leaving any trace of the procedure performed. Forensic science confronts anti-forensic techniques, analyzes them rigorously and applies anti-measures in the development of techniques to detect anti-forensic operations. In this paper, anti-forensic techniques are proposed to perform the source anonymization and forgery in MP4 videos.
Keyword:
Anti-forensic analysis
digital video
forensic analysis
PRNU
sensor noise
source identification
video anonymization
video forgery
video metadata
wavelet transform
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
A PRNU-based counter-forensic method to manipulate smartphone image source identification techniques
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分享收藏Robust video watermarking for wireless multimedia communications.png)
2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540)
2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540)IF0
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