Abstract
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 light-weight technique named Sab - íomha 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.
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Bhatti, M.S., Hussain, S.A., Qayyum, A., Latif, I., Hasnain, M., Hashmi, S.I. (2017). Sab - íomha: An Automated Image Forgery Detection Technique Using Alpha Channel Steganography. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_74
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DOI: https://doi.org/10.1007/978-3-319-56538-5_74
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