Implementation of ETAS (Embedding Text in Audio Signal) Model to Ensure Secrecy
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
Steganography is the art of hiding information that evolves as a new secret communication technology. For a long period time, information hiding was done using plain text, still images, video and IP datagram. Embedding secret messages using audio signal in digital format is now the area of focus. There exists numerous steganography techniques for hiding information in audio medium. In this work we propose a new model ETAS - Embedding Text in Audio Signal that embeds the text like the existing system but with encryption that gains the full advantages of cryptography. Using steganography it is possible to conceal the full existence of the original text and the results obtained from the proposed model is compared with ther existing techniques and proved to be efficient for textual messages of size beyond 12 KB as the size of the embedded text is approximately same as that of encrypted text size. This mphasis the fact that we are able to ensure secrecy without an additional cost of extra space consumed for the text to be communicated.
Authors and Affiliations
K. GEETHA , P. VANITHA MUTHU
Performance Evaluation of Modified Signcryption Scheme
Before a message is sent out, the sender of the message would sign it using a digital signature scheme and then encrypt the message (and the signature) use a private key encryption algorithm under a randomly chosen messa...
An Efficient Automatic Attendance System using Fingerprint Verification Technique
Abstract— The main aim of this paper is to develop an accurate, fast and very efficient automatic attendance system using fingerprint verification technique. We propose a system in which fingerprint verification is done...
Color and Texture Based Identification and Classification of food Grains using different Color Models and Haralick features
This paper presents the study on identification and classification of food grains using different color models such as L*a*b, HSV, HSI and YCbCr by combining color and texture features without performing preprocessing. T...
Model based approach for Detection of Architectural Distortions and Spiculated Masses in Mammograms
This paper investigates detection of Architectural Distortions (AD) and spiculated masses in mammograms based on their physical characteristics. We have followed a model based approach which separates the abnormal patter...
NEW NUMERICAL ALGORITHMS FOR MINIMIZATION OF NONLINEAR FUNCTIONS
In this paper, we propose few new algorithms of third order onvergence for minimization of nonlinear functions which is based on geometric construction of iteration functions of order hree to develop cubically converge...