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Steganography is a technique of hiding secret messages in the image in such a way that no one apart from the sender and intended recipient suspects the existence of the message. Image Steganography is frequently used by Terrorists and criminal organizations for securely broadcasting, dead-dropping and communicating the secret information over the internet by hiding it in the Images. As a result it becomes the most preferred tool for achieving secure CIA (Confidentiality, Integrity and Availability) compliant communication network capable of penetrating deep inside the civilian population. Steganalysis of Image (Identification of Images containing Hidden Information) is a challenging task due to lack of Efficient Algorithms, High rates of False Alarms and most importantly due to the High Computation Costs involved in Analyzing the Images. In this paper a computationally fast mathematical algorithm is designed for analyzing any stego-image generated using Spatial Domain Steganographic Algorithms and assigning it a Suspicion Value. This Suspicion Value is a number associated with the image and is bigger for those images which contain information and smaller for innocent images. Based on this Suspicion Value it can be decided whether the given image must be interrogated thoroughly (thorough interrogation of an image requires large amount of computation time but reliably and conclusively identifies the hidden information using various steganalytic techniques) or not. This fast stego-identifier algorithm can be used for quick filtering of the suspicious images flowing through the web servers, routers, layer three switches and any other electronic media. Based on this algorithm the suspicion values of various cover and stego-images generated by three different steganographic algorithms are computed and evaluated. All the graphs and tables are generated using MATLAB ©Image Processing Tool Box.

Quick Identification of Stego Signatures in Images Using Suspicion Value (Special Reference to Concentrating Stego Algorithms)