A review and analysis of digital image forensic techniques

In recent times, the popularity of digital photographs has increased due to their ability to convey more information than conventional image and text content. However, their easy accessibility has made ensuring their security a major concern. Therefore, serious problems can be quite challenging to minimize when testing and evaluating the validity of a study problem and identifying malevolent intruders. To address these challenges, various digital image forensics techniques have been proposed by numerous researchers to identify the forensics of an image and verify its content. The passive method and the active approach are the two most used techniques in digital forensics. In this paper, a digital image security forensics technique with different machine learning and deep learning classifiers was reviewed to demonstrate the effectiveness of the approach. The use of these techniques was explored to enhance the accuracy of digital image forensics.