Sab - iomha: An Automated Image Forgery Detection Technique Using Alpha Channel Steganography

Digital images nowadays have become a very popular way to transfer media. However, their security remains very challenging for at least two reasons; first, images can be easily tampered with the help of software tools; second, originality of the tampered images cannot be verified through a naked-eye. The existing techniques to forgery detection are not very easy to use and are applicable to very specific settings. In this research paper, we propose a lightweight technique named Sab - iomha to detect image forgery. The approach uses invisible watermarking and entails with inserting a hidden cipher to certain bits of an image file. Any attempts to tamper with the image distort the sequence of the bits signed by the author in the first place. A software tool is also developed to automate the proposed technique and to demonstrate its usefulness.