e-Fraud Prevention based on the SelfAuthentication of e-Documents
ABSTRACT
We consider a method for preventing e-Fraud in which a image is encrypted with a floating point
cipher using a convolution operation and then output will generate in a image ciphertext. The
output is then ‘embedded’ in a host image to hide the encrypted information.Decryption is
accomplished by: (i) extracting the binary image from the host image; (ii) correlating the result
with the original cipher. In principle, any cipher generator can be used for this purpose and the
method has been designed to operate with images.The approach has a variety of applications and
in this paper, we focus on the authentication and self-authentication of edocuments (letters and
certificates, for example) that are communicated over the Internet and are thereby vulnerable to
e-Fraud (e.g. modification, editing, counterfeiting etc.).
EXISTING SYSTEM
The weaknesses of all encryption systems is that the form of the output data (the cipher text), if
intercepted, alerts the intruder to the fact that the information being transmitted may have some
importance and that it is therefore worth attacking and attempting to decrypt it. This aspect of
cipher text transmission can be used to propagate disinformation, achieved by encrypting
information that is specifically designed to be intercepted and decrypted. In this case, we assume
that the intercept will be attacked, decrypted and the information retrieved. There is no security
when transmitting the data from one end to another.
PROPOSED SYSTEM
The main objective of the proposed system is to hide the encrypted message or a secret data in to
an image which further act as a carrier of secret data and to transmit to the destination securely
without any modification. If there are any perceivable changes when inserting or embedding the
information into the image or if any distortions occur in the image or on its resolution there may
be a chance for an unauthorized person to modify the data. So, the data encryption into an image
and decryption and steganography is used to protect the data from unauthorized person, this
plays a major role in the project.The scheme allows for the authentication and selfauthentication
of documents such as letters, certificates and other image based data. For example, the selfauthentication of edocuments sent as attachments over the internet provides a unique facility for
many legal and financial transactions that have traditionally relied on paper based documents to
secure authenticity.
PROCESS FLOW:
MODULE DESCRIPTION:
Number of Modules
After careful analysis the system has been identified to have the following modules:
1. File Upload And Encryption
2. Hiding Text
3. Text Extraction
4. Decryption
1. File Upload And Encryption:
Admin upload the files using filename and fileid. The user will search the uploaded files and
select file and send request to admin. Admin view the user requested file and send secret key
with image in which text embed into the image .The binary image should be converted in to
block of bytes using serialization. The key will encrypt using an encryption algorithm. Use the
encryption function to encrypt the numeric plaintext values using the public key. The encrypted
function gives an integer value, and then converts the integer value in to hexadecimal value.
Concatenate the hexadecimal value to form a cipher text.
2. Hiding Text:
Steganography is the process of hiding the one information in to other sources of information
like text, image or audio file so that it is not visible to the natural view. Here, the image is
encrypted, then encrypted information hidden in a host image It is a simple approach to
embedding a message in to the image. The Least Significant Bit insertion varies according to
number of bits in an image. The encrypted text is hiding in changed to the bit of secret message.
The encrypted information is hidden in a cover image is called as stegoimage. The stego key is
used to extract the hidden data from a stegoimage. The stego key is a secret key used to protect
the hidden message in an image. The stegoimage should be sent as an attachment to destination.
3. Text Extraction:
The stegoimage can view using the image upload path. The hidden text is extracted from the host
image using a stego key. The stego key is used to extract the text from the image. The stego key
finds the text hidden in image file. Extract the text from an image; finally get the secret data and
the hidden message stored in a file.
4. Decryption:
The encrypted information extract from an image and using a private key to decrypt the
hiddenmessage. Break the ciphertext into small blocks of data that are the same length as the
public key modulus. The blocks of data containing a hexadecimal string. The interpret each
hexadecimal string as a decimal integer value. Use the decryption function to decrypt the integer
values using the private key. Represent each decrypted value as a pair of bytes. By using
decryption the ciphertext convert in to block of bytes .After decryption the bytes converted in to
binary image using deserialization. The binary image is converted in to image by using
dequantization.
Software requirements:
Operating System
: Windows
Technology
: Java and J2EE
Web Technologies
: Html, JavaScript, CSS
IDE
: My Eclipse
Web Server
: Tomcat
Database
: My SQL
Java Version
: J2SDK1.5
Hardware requirements:
Hardware
-
Pentium
Speed
-
1.1 GHz
RAM
- 1GB
Hard Disk
- 20 GB
Floppy Drive
- 1.44 MB
Key Board
- Standard Windows Keyboard
Mouse
- Two or Three Button Mouse
Monitor
- SVGA