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Future Considerations and Conclusions

Module by: Elliot Ng, Danny Blanco, Charlie Ice, Bryan Grandy

Future Considerations and Conclusion

Future Work

Due to time and computing limitations, we could not explore all facets of steganography and detection techniques. As you saw, we studied the power in our pictures to test for hidden data. Another method which we were unable to explore was to analyze the noise of the pictures. Adding hidden data adds random noise, so it follows that a properly tuned noise detection algorithm could recognize whether or not a picture had steganographic data or not.

Conclusion

We explored several steganography techniques and the various detection algorithms associated with them. By using the properties of the DCT and our understanding of the frequency domain we developed the zeros hiding method. Zeros hiding proved to be easier to analyze than bit-o-steg and can hide significantly more data. Unfortunately its ease of detection makes it a less secure method. After researching various techniques already implemented, we chose to improve upon one, thus creating our bit-o-steg method. Bit-o-steg can only hide data in coefficients that were not dropped, thus limiting the amount of data we can hide. However, it greatly enhances the effectiveness of the steganography since it uses a key, making it much more challenging to detect. In the end we found both effective, but the complexity of bit-o-steg makes it more promising. Detection of our methods was critical to the breadth of our project. By investigating the power in various components of our images we discovered how to detect data hidden via the zero hiding method. Detecting bit-o-steg required us to draw on past steganography research and statistically analyze the effects of this type of data hiding. The methods and accompanying detection schemes we developed broadened our understanding of steganography, which, unlike encryption, allows secret data to be traded hands without raising an eyebrow.

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