Embedded Extended Visual Cryptography Schemes. (Domain: Secure Computing + Image Processing)

02. Embedded Extended Visual Cryptography Schemes. (Domain: Secure Computing + Image Processing) 

Abstract

A visual cryptography scheme (VCS) is a kind of secret sharing scheme which allows the encoding of a secret image into shares distributed to participants. The beauty of such a scheme is that a set of qualified participants is able to recover the secret image without any cryptographic knowledge and computation devices. An extended visual cryptography scheme (EVCS) is a kind of VCS which consists of meaningful shares (compared to the random shares of traditional VCS). In this paper, we propose a construction of EVCS which is realized by embedding random shares into meaningful covering shares, and we call it the embedded EVCS. Experimental results compare some of the well-known EVCSs proposed in recent years systematically, and show that the proposed embedded EVCS has competitive visual quality compared with many of the well-known EVCSs in the literature. In addition, it has many specific advantages against these well-known EVCSs, respectively.

OUR PROPOSED ABSTRACT:

Visual cryptography is one of the technique used to encrypt the images by dividing the original image into transparencies. The transparencies can be sent to the intended person, and at the other end the transparencies received person can decrypt the transparencies using our tool, thus gets the original image. Our proposed Visual cryptography provides the demonstration to the users to show how encryption and decryption can be done to the images.  In this technology, the end user identifies an image, which is not the correct image. That is, while transmitting the image the sender will encrypt the image using our application here sender gets the two or more transparencies of the same image. Our application provides an option to the end user of encryption. The end user can divide the original image into number of different images.  Using our application we can send encrypted images that are in the format of GIF And PNG. The encrypted transparencies can be saved in the machine and   can be sent to the intended person by other means [source].     

Scope:

System provides a friendly environment to deal with images. Generally   tools support only some kinds of image formats. Our application supports .gif and .png (portable network graphics) formatted images and our application has been developed using swing and applet technologies, hence provides a friendly environment to users.

Existing System:

Visual cryptography is the art and science of encrypting  the image in such a way that no-one apart from the sender and intended recipient even realizes the original image, a form of security through obscurity. By contrast, cryptography obscures the original image, but it does not conceal the fact that it is not the actual image.

      Limitation:-The existing system does not provide a friendly environment to encrypt or decrypt the data (images).

Proposed System:

Proposed system Visual cryptography provides a friendly environment to deal with images. Generally cryptography tools supports only one kind of image formats. Our application supports .gif and .png (portable network graphics) formatted images and our application has been developed using swing and applet technologies, hence provides a friendly environment to users.

Problem Definition: When ever we transmit the data(image) in the network, any unauthenticated person can read our data(image). In order to provide security to data(image) generally sender will encrypt the data(image) and send it the intended person and the receiver will decrypt the encrypted data(image) and uses it.

Hardware Requirements:

Processor: Intel or AMD processor computer

RAM:         256 MB or more

Hard Disk Space: 8 GB or more

Software Requirements:     

Operating System:  Windows   X P

Technologies: JAVA 6.0, Swing

Tools: NetBeans 6.0

MODULES :-

·        Interface design using Applet frame work

·        visual cryptography  implementation

·        Testing and integration

Base paper Algorithm:

Input: The c x d dithering matrix D and a pixel with gray-level g in input image I.

Output: The halftoned pattern at the position of the pixel

For i=0 to c-1 do

For j=0 to d-1 to do

If g<=Dij  then print a black pixel at position (i,j);

Else print a white pixel at position (i,j);

Our Proposed Algorithm:

LZW Data Compression Algorithm

The method used to implement in the following  process:

      1. Select the gray scale image.

      2. Apply the LZW compression technique for the gray  scale                           image. 

      3. Preparing the dictionary for the gray scale images.

      4. In dictionary replaces strings of characters with a Single codes.

      5. Calculations is done by   dynamic  Huffman coding.

      6. In compression of grayscale image select the secret Information    pixels.

      7. Then generation haftone shares using error diffusion Method.

      8. Filter process is apply for the output gray scale images.

      Filters are used to improve the quality of reconstructed image to    minimize the noises for   sharpening the input secret image.

 

Reference:

Feng Liu and Chuankun Wu, “Embedded Extended Visual Cryptography Schemes”, IEEE Transactions on information forensics and security, Vol. 6, No.2, June 2011.

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