Applying the Sensor Noise based Camera Identification Technique to Trace Origin of Digital Images in Forensic Science
Wen-Chao Yang, Long-Huang Tsai, Chung‐Hao Chen · 2017
With the rapid development of digital technologies, cameras and video recorders play an important role in our life, such as cell phones, cameras, or vehicle recorders. As a result, the easier we can access to those imaging devices, the more likely a perpetrator can use it to commit a crime, such as the invasion of privacy. Therefore, in recent years digital images and videos often play an important role as an evidence for coming a crime in court. Due to the rapid development of cloud and network technologies, we can easily spread digital images and videos via email or social media. However, it is difficult for us to trace the origin of the digital image/video contents. In many crime events, such as spreading national secrecy or maliciously spreading privacy cases, the ability of determining the source of the digital image/ video contents is important. In this paper, an origin-tracing method based on sensor noise is proposed to tackle this issue. The experiment result shows that the classification accuracy is close to 100 percent in some cases.