The Significance of Metadata and Video Compression for Investigating Video Files on Social Media Forensic

Mukesh Choudhary and Anshuman v Ramani

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 3, 304-313

Abstract: Digital forensics is an essential aspect of cyber security and the investigation of digital crimes. Digital recordings are routinely used as important evidence sources in the identification, analysis, presentation, and reporting of evidence. There has recently been concern that images and videos cannot be used as solid evidence since they may be altered very quickly due to the abundance of technologies available for the gathering and processing of multimedia data. The main goal of this endeavour is to comprehend advanced forensic video analysis methods to assist in criminal investigations. We first propose the acquisition extraction analysis in a forensic video analysis framework that employs efficient video and image enhancement techniques for low-quality video that would be transferred through social media applications and for CCTV footage analysis. The reliability of digital video recordings is essential in forensic science and other criminal investigation fields. Digital video forensic analysis is a technique that constantly faces new challenges. Currently, videos are authenticated using a variety of parameters, including pixel-based analysis, frame rate analysis, bit rate analysis, hash value analysis, and, most importantly, metadata analysis. It was believed that the development of technology required the development of a new method for the verification of digital video recordings. In this review study, we made a novel attempt by reviewing the media. Information and structural analysis of video containers in the MP4 file format have been used to distinguish between real and altered videos.

Keywords: Digital forensic; Metadata; social media forensic; Video compression; social media application (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390373
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390373

DOI: 10.32628/CSEIT2390373

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