Uniform embedding for efficient jpeg steganography

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UNIFORM EMBEDDING FOR EFFICIENT JPEG STEGANOGRAPHY
ABSTRACT:
Steganography studies the Image Data Hiding is an efficient method for increasing the
embedding efficiency that is defined as an average number of bits embedded via per change on the
cover. Hiding information inside an image without changing its visible properties, the cover source
can be altered in noisy areas with many color variations, but the color values for existing & stegano
image are same. Reducing distortion between the cover object and the stego object is an important
issue for steganography. The purpose of steganography is to send secret messages after embedding
them into public digital multimedia. It is desired to embed as loads of messages as possible per
change of the cover-object. In general, for given messages and covers, the steganography that
introduces fewer embedding changes will be less detectable, i.e., more secure.
We propose to a class of new distortion functions known as uniform embedding
distortion function (UED) is presented for both side-informed and non side-informed secure JPEG
steganography. Transfer via some referential columns. Image is divided into a number of pixel is
very efficient for hiding a message on image data due to its simplicity. Compared with prior arts,
the proposed scheme gains favorable performance in terms of secure embedding capacity against
steganalysis.
EXISTING SYSTEM

· The Steganography of image file can be compared with original file as file weightage and
color variations.
· The purpose of Cryptography is covert communication-to hide the existence of a message
from a third party, but it’s too Complex to embedded & Extract.
· LSBs of the elements pointed by the determined locations are used for embedding and
extraction.
· Before embedding and extraction, a location finding method determines a sequence of
locations that point to elements in the cover object.
· A commonly used strategy for steganography is to embed the message by slightly distorting
the cover object into the target stego Object Reducing distortion is a crucial issue.
PROPOSED SYSTEM
· A class of new distortion functions known as uniform embedding distortion function (UED)
is presented for both side-informed and non side-informed secure JPEG steganography.
· Proposed scheme gains favorable performance in terms of secure embedding capacity
against steganalysis.
· The secret data, as well as the auxiliary information used for content recovery, are carried
by the differences between the original pixel-values and the corresponding values estimated
from the neighbors.
· A receiver can successfully extract the embedded secret data and recover the original
content in the subsets with an inverse order.
· The time complexity of our embedding (extraction as well) algorithm is asymptotically
optimal.
· These two critical issues are Resolved by Data Hiding With Matrix Embedding Matrix
Extracting Transfer.
· Two Critical Issues:

o Reducing distortion on cover objects
o Better efficiency for embedding and extraction.
SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS
· Platform : JAVA(JDK 1.5)
· Front End : JAVA Swing
· IDE : NETBEANS 6.9
· Operating System : Microsoft Windows 2000 or XP
HARDWARE REQUIREMENTS
· Processor : Pentium IV Processor
· RAM : 512 MB
· Monitor : 14” VGA COLOR MONITOR
· Keyboard : 104 Keys

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Explainable Artificial Intelligence for Patient Safety A Review of Application in Pharmacovigilance. Shakas Technologies ( Galaxy of Knowledge) #11/A 2nd East Main Road, Gandhi Nagar, Vellore - 632006. Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723 Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication | Email : info@shakastech.com | shakastech@gmail.com | website: www.shakastech.com Facebook: https://www.facebook.com/pages/Shakas-Technologies

Explainable Artificial Intelligence for Patient Safety A Review of Applicatio...

Shakas Technologies

Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions. Shakas Technologies ( Galaxy of Knowledge) #11/A 2nd East Main Road, Gandhi Nagar, Vellore - 632006. Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723 Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication | Email : info@shakastech.com | shakastech@gmail.com | website: www.shakastech.com Facebook: https://www.facebook.com/pages/Shakas-Technologies

Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transact...

Shakas Technologies

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