Methods for forgery detection in digital forensics Online publication date: Tue, 31-Aug-2021
by Punam Sunil Raskar; Sanjeevani Kiran Shah
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 13, No. 5, 2021
Abstract: The information present in the footage/video clip is one of the solid evidence of the event at the incidents. Therefore, visual media crime-scene investigation has risen as a crucial research field, which fundamentally promotes techniques to deal with forgeries in forensic videos. This paper takes a reader to simplify the understanding of the existing work and provides a profound study of the prevailing literature in the field of digital forgeries. The retrospective analysis helps to reconnoiter the work done to date by categorising the forgery detection techniques in four different domains. The first aspect of the paper is useful for people working on detecting copy-move attacks (CMA). The second domain scrutinises the tamper detection work based on motion estimation techniques. The third facet puts forward the details about forgery detection based on optical flow principal and the fourth section helps researchers to recognise current forensic developments in compressed videos.
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