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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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

Digital forensics deals with detection of forgery or crime. Nowadays, the use of digital images has increased as they are a very popular way to transfer media. However, their security remains very challenging for at least two reasons; first, images can be easily tempered with the help of software tools; second, originality of the tempered images cannot be verified through a naked eye.

Although there do exist some techniques that can validate digital images for integrity, but in practice, it is not a trivial task as the existing techniques are not very easy to use and are applicable to very specific settings. Therefore, there is a dire need for simple yet efficient solution to the problem. In this research paper, we propose a light-weight method named Sab- íomha to detect image forgery. The method uses invisible watermarking and entails with inserting a hidden code to certain bits of an image file. Any attempts to temper with the image distort the sequence of the bits signed by the author in the first place. We argue Sab - íomha can easily validate originality of an image by exposing fakes. A software tool is also developed to automate the proposed technique and to demonstrate its usefulness.

Author(s):

Syed Asad Hussain    
COMSATS Institute of Information Techology
Pakistan

Muhammad Shahid Bhatti    
COMSATS Institute of Information Techology
Pakistan

Abdul Qayyum    
COMSATS Institute of Information Techology
Pakistan

Sajid Ibrahim Hashmi    
COMSATS Institute of Information Techology
Pakistan

 

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