Visible to the public "An edge based image steganography with compression and encryption"Conflict Detection Enabled

Title"An edge based image steganography with compression and encryption"
Publication TypeConference Paper
Year of Publication2015
AuthorsR. Mishra, A. Mishra, P. Bhanodiya
Conference Name2015 International Conference on Computer, Communication and Control (IC4)
Date PublishedSept
ISBN Number978-1-4799-8164-9
Accession Number15700389
KeywordsART, canny edge detector, cryptography, data compression, data encryption, data hiding capacity, edge based image steganography, edge detection, embedded secret data, Encryption, Hash Function, Image coding, Image edge detection, LZW algorithm, MATLAB, Media, Optical distortion, private key cryptography, pubcrawl170102, Secret key, secret message, steganography, stego image distortion

Security of secret data has been a major issue of concern from ancient time. Steganography and cryptography are the two techniques which are used to reduce the security threat. Cryptography is an art of converting secret message in other than human readable form. Steganography is an art of hiding the existence of secret message. These techniques are required to protect the data theft over rapidly growing network. To achieve this there is a need of such a system which is very less susceptible to human visual system. In this paper a new technique is going to be introducing for data transmission over an unsecure channel. In this paper secret data is compressed first using LZW algorithm before embedding it behind any cover media. Data is compressed to reduce its size. After compression data encryption is performed to increase the security. Encryption is performed with the help of a key which make it difficult to get the secret message even if the existence of the secret message is reveled. Now the edge of secret message is detected by using canny edge detector and then embedded secret data is stored there with the help of a hash function. Proposed technique is implemented in MATLAB and key strength of this project is its huge data hiding capacity and least distortion in Stego image. This technique is applied over various images and the results show least distortion in altered image.

Citation Key7375510