  The continuous growth of technologies like 4G or 5G has led to a massive use
of mobile devices such as smartphones and tablets. This phenomenon, combined
with the fact that people use mobile phones for a longer period of time,
results in mobile phones becoming the main source of creation of visual
information. However, its reliability as a true representation of reality
cannot be taken for granted due to the constant increase in editing software.
This makes it easier to alter original content without leaving a noticeable
trace in the modification. Therefore, it is essential to introduce forensic
analysis mechanisms to guarantee the authenticity or integrity of a certain
digital video, particularly if it may be considered as evidence in legal
proceedings. This paper explains the branch of multimedia forensic analysis
that allows to determine the identification of the source of acquisition of a
certain video by exploiting the unique traces left by the camera sensor of the
mobile device in visual content. To do this, a technique that performs the
identification of the source of acquisition of digital videos from mobile
devices is presented. It involves 3 stages: (1) Extraction of the sensor
fingerprint by applying the block-based technique. (2) Filtering the strong
component of the PRNU signal to improve the quality of the sensor fingerprint.
(3) Classification of digital videos in an open scenario, that is, where the
forensic analyst does not need to have access to the device that recorded the
video to find out the origin of the video. The main contribution of the
proposed technique eliminates the details of the scene to improve the PRNU
fingerprint. It should be noted that these techniques are applied to digital
images and not to digital videos.
