Network Security through Orthogonal Fingerprinting Codes Under Worst-Case Noise

In the last year I have presented a paper on the network security seeking help from my college staff as follows.

DIGITAL media protection has become an important issue in recent years, as illegal distribution of licensed material has become increasingly prevalent.

A number of methods have been proposed to overcome this issue.

One of the technique is CRYPTOGRAPHIC , which encrypt the media files before distribution. Unfortunately, cryptographic approaches are limited in that once the content is decrypted , it can potentially be copied and distributed freely.

• An alternate approach involves marking each copy of the media files with a unique signature. The signature could be a change in the bit sequence of the digital file or some noise-like distortion of the media.

The unique signature are called the fingerprints, by analogy to the uniqueness of human fingerprints.

DIGITAL FINGERPRINTING is a framework for marking media files, such as images, music, or movies, with user specific signature to deter illegal distribution. Multiple users can collude to produce a forgery that can potentially overcome a fingerprint design which is robust to such collision attacks.

FINGER PRINTING:

• The FINGERPRINTING TECHNOLOGY allows to secure the media files more safely than the CRYPTOGRAPHIC technique.

• In fingerprinting the media files are compressed, they are represented in the form of signals.

• There are two approaches to designing fingerprints with robustness to collision.

• First approach uses the marking assumption that the forged copy only differs in the colliders usually in bit sequence .

• The second approach is distortion assumption, in this the fingerprints are noise like distortion to the media in signal space.

• In order to preserve the overall quality of the media files , limits are placed on the magnitude of this distortion.

• The content owner limits the power of the fingerprint that he adds.

• When working with distortion-type fingerprints, some embedding is typically needed.

As an example, one method of fingerprinting embedding is known spread spectrum water marking.

WATER MARKING :

• WATER MARKS is like a tattoo, permanently added to every frame of the digital media file.

• A Watermark is invisible

• WATERMARK are useful for Tracking individual assets

• Helping to identify who created a particular piece of content

Using the WATERMARKS a media files can be copied more than once, but the special function of water mark is that it create a unique id for every files. Thus the authorized owner can access the files, so the media files are secured.

WHAT IS THE NEED FOR ORTHOGONAL FINGERPRINTING:

There are some drawbacks in the above explained techniques.

DRAWBACKS IN ABOVE TECHNIQUES:

In Digital Fingerprinting the collision of fingerprint signal is possible due to collision of other fingerprint signals.

In Water Marking system there is no collision of signals the only drawback is that it is difficult to maintain a large database to store the data with unique key and water codes.

SOLUTION TO OVERCOME THE DRAWBACK IN

DIGITAL FINGERPRINTING

In the above image you can see the model of the orthogonal fingerprinting.

In this individual account can be created for the each of the user by their unique finger print and artificial finger print of the user under worst case noise. So that it overcomes the drawback of the Digital finger printing.

SOLUTION TO OVERCOME THE DRAWBACK IN

WATER MARKING

In the above diagramming sampling of high frequency takes place thus there is no signal collision and there is no need of large storage space.

This idea may become successful if any additional idea you have just comment below this post I will make changes.

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