A Novel Approach for Reversible Data Hiding in Encrypted Images Using Key Based Pixel Selection
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2014, Vol 5, Issue 6
Abstract
In this paper a new steganographic approach is proposed to increase the confidentiality of the hidden data in RGB images by placing the data randomly across the encrypted images. By using the secret key provided to the users, key based pixel selection approach is applied in order to randomize the pixel selection. In order to make the retrieved image and data free from error, space is reserved before image encryption. LSB replacement method is used to embed the data in the encrypted image. The basic idea in the newly proposed method is to embed the data into the least significant bits of pixels of red plane which are placed diagonally within the cover image. Replacing the Least Significant bits in a single RGB plane does not provide any distortion to the restored image which can be visible to human eye.
Authors and Affiliations
Mala R , Mrs. Manimozi I
Keywords
Related Articles
- EP ID EP116127
- DOI -
- Views 142
- Downloads 0
Evaluating Recommender Strategies
Recommender systems are a subclass of information filtering systems that seek to generate meaningful recommendations to users for products or items that might interest them. In recent times, it has become common to colle...
Detection and Removal of Bad Smells instantly using a InsRefactor
Software refactoring is one of the essential techniques which are used to improve the software quality without affecting any of the external functionality of the software. There were numerous of software refactoring tool...
The Moderating Factors of 3G User Acceptance Technology in Shimla (India) Using UTAUT Model
The UTAUT model one of the best model that affect the behavior acceptance and also help us predicting the user acceptance technology. UTAUT model is current model that has used in predicting usage of mobiles, computer sy...
Segmentation of Brain Tumour and Its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm
This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumour in brain MR images. Tumour is an uncontrolled growth of tissues in any part of the body. Tumours are of different ty...
Genetic Programming and Artificial Neural Networks in a Chemical Process System
The main objective in this paper is to develop a mathematical model of the glucose to gluconic acid batch fermentation process utilizing novel techniques such as Genetic Programming and Artificial Neural Networks. Downlo...