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Steganography Detection and Analysis of Hidden Data in Images

Patah Akhir, Emelia Akashah (2007) Steganography Detection and Analysis of Hidden Data in Images. Masters thesis, University of Surrey.

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Abstract

Steganography is the art of hiding the information that is going to be sent from one party to another. Information can be hidden into image, text, audio or video. Steganography allowed communication to happen without other people notice there is transmission of message except the intended party. This project is to develop a program that can detect the presence or absence of the steganography in an image. The program is developed using Matlab. It is developed based on the existing algorithms which is Pairs Analysis, introduced by Fridrich et a!. We tried to write a simple embedding Matlab code to embed random message in the tested images. From the result that we got for each of the image with embedded message, we find the distribution graph for cover image and stegogramme. Threshold can be set up by calculating the overlapped area between the two distribution graphs. We plot the Receiver Operating Characteristic (ROC) graph in order to calculate the best and most accurate point to be set as threshold. Once we have set up the threshold for the cover image and stegogramme, the program will be tested on the images produce by the chosen steganography software, which is S-Tools and InfoStego. Both steganographic softwares are for spatial domain, which hide the secret message in the least significant bit (LSB) of image bits. For the output, our program is expected to produce histogram or graph that will detect the presence of the secret message in the cover image. This detection algorithm also produces the number of bitflips in the embedded image. The program should be able to estimate the length of the embedded message in percentage. The type of images used in this project are bmp,gif and jpeg format. They are comprised of natural images such as people, flowers, building, landscape and so forth.

Item Type: Thesis (Masters)
Subject: Q Science > Q Science (General)
Divisions: Engineering
Depositing User: Users 2053 not found.
Date Deposited: 27 Sep 2013 12:01
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/7075

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