Skip to content Skip to navigation

Connexions

You are here: Home » Content » Future Considerations and Conclusions

Navigation

Lenses

What is a lens?

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

This content is ...

Affiliated with (What does "Affiliated with" mean?)

This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
  • Rice University ELEC 301 Projects

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2005"

    Click the "Rice University ELEC 301 Projects" link to see all content affiliated with them.

Recently Viewed

This feature requires Javascript to be enabled.

Future Considerations and Conclusions

Module by: Elliot Ng, Danny Blanco, Charlie Ice, Bryan Grandy. E-mail the authors

User rating (How does the rating system work?)
Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

:
(0 ratings)

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.

Content actions

Give Feedback:

E-mail the module authors | Rate module ( How does the rating system work?)

Rating system

Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

(0 ratings)

Download:

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.

| A lens (?)

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks