in Computer Science (1999) from the Universidad Politécnica de Madrid (Spain). Luis Javier García Villalba received a Telecommunication Engineering degree from the Universidad de Málaga (Spain) in 1993 and holds a Ph.D. Navigate Left Previous article in issue.To evaluate the scalability of the technique in real scenarios, we used a robust, heterogeneous and far superior dataset than that used in the literature. Three phases are involved in the method: 1) Dataset preparation 2) data features extraction 3) Supervised model creation. The result of these transformations leaves a characteristic pattern in the videos that allow us to detect the social platform or editing program efficiently. To achieve our goal, we take advantage that the social platforms and editing programs, execute filtering and compression processes on the videos when they are shared or manipulated. The proposed method is focused on supervised machine learning techniques. Concretely, detect the social platform and editing program used to execute possible manipulation attacks. This paper presents a novel forensic technique to detect the post-processing of digital videos with MP4, MOV and 3GP formats. Therefore, it is essential to create robust forensic methods, which will strengthen the justice administration systems and thus make fair decisions. In a legal process, a manipulated video can provide the necessary elements to accuse an innocent person of a crime or to exempt a guilty person from criminal acts. These files are generally shared on social platforms and are exposed to any manipulation, compromising their authenticity and integrity. Examples include mobile devices, digital cameras and video surveillance cameras, which offer excellent performance and generate a large number of images and video. However, its use can also involve many risks. Technology has brought great benefits to human beings and has served to improve the quality of life and carry out great discoveries.
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