Modified Buyer Seller Watermarking Protocol based on Discrete Wavelet Transform

ABSTRACT:

Digital watermarks have previously been proposed for the purposes of copy protection and copy deterrence for multimedia content. Existing protocols encrypt the watermark and the content with a homomorphic public-key cipher and perform embedding under encryption. When used for multimedia data, these protocols create a large computation and bandwidth overhead. In this correspondence, we show that the same functionality can be achieved efficiently using recently proposed secure watermark embedding algorithms such as Discrete Wavelet Transform (DWT) and RSA.

PROJECT OUTPUT VIDEO:

EXISTING SYSTEM & DISADVANTAGES:

• Forensic watermarking is being increasingly used to protect digital content distributed through online channels. In a forensic watermarking architecture, each piece of content exchanged between a service provider (or content owner) and a customer is watermarked with the identity of the customer. When an unauthorized copy of the content is found, this forensic information enables identifying the customer who leaked the content.

• Traditionally, it is assumed that the service provider (or content owner) is completely trustworthy (i.e., performs the watermark insertion honestly and does not frame an innocent customer by trying to falsely identify him or her as a copyright infringer). When the distribution server is not trustworthy, two problems can occur as follows.

• 1) As the service provider watermarks the distributed objects himself or herself, he or she has access to the watermarked piece of content distributed to each customer. Consequently, he or she is also able to distribute this content illegally. However, forensic investigations would incorrectly identify a customer as the source of the leak.

• 2) The service provider chooses the watermark by identifying a specific customer. Thus, the service provider could insert such a watermark in any piece of content and pretend that the customer (to which the watermark payload points) has distributed the content illegally.

• In practice, the content owner often does not have any financial motivation to frame an innocent customer. The real problem arises when a malicious customer invokes the possibility of framing, by the content owner, as a means to discredit the forensic tracking mechanism.

PROPOSED SYSTEM:

• We propose an interactive buyer-seller protocol for invisible watermarking in which the seller does not get to know the exact watermarked copy that the buyer receives. Hence the seller cannot create copies of the original content containing the buyer’s watermark.

• In cases where the seller finds an unauthorized copy, the seller can identify the buyer from a watermark in the unauthorized copy and furthermore the seller can prove this fact to a third party using a dispute resolution protocol.

• This prevents the buyer from claiming that an unauthorized copy may have originated from the seller.

• We presented discrete wavelet transform for watermarking process. Seller content image is watermarked into selected high frequency sub-bands of discrete wavelet transform.

• And also RSA is explored for encrypt the watermark and the content with a homomorphic public-key cipher and perform embedding under encryption.

• Thus, the authorized transmission is executed between seller and original buyer based on Watermark Certification Authority (WCA).

ADVANTAGES OF PROPOSED SYSTEM:

• The main advantage of this approach is their computational simplicity and more secured.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System          : Pentium Dual Core.

• Hard Disk      : 120 GB.

• Monitor          : 15’’ LED

• Input Devices : Keyboard, Mouse

• Ram                : 1GB.

SOFTWARE REQUIREMENTS:

• Operating system : Windows 7.

• Coding Language : MATLAB

• Tool                       : MATLAB R2013A

REFERENCE:

N. Memon and P.Wang, “A buyer-sellerwatermarking protocol,” IEEE Trans. Image Process., vol. 10, no. 4, pp. 643–649, Apr. 2001.