Research Article Open Access

A NEW DATA HIDING ALGORITHM WITH ENCRYPTED SECRET MESSAGE USING TTJSA SYMMETRIC KEY CRYPTO SYSTEM

Abstract

In the present work we are proposing a new steganogarphy method to hide any encrypted secret message inside a cover file by substituting in the LSB. For encrypting secret message we have used new algorithm namely TTJSA developed by Nath et al [10]. For hiding secret message we have used a method proposed by Nath et al [2]. The TTJSA method comprises of 3 distinct methods which are also developed by Nath et al[1,7]. The methods are MSA[Meheboob, Saima and Asoke][1], NJJSAA[Neeraj, Joel, Joyshree, Amlan, Asoke][7] and Generalised Modified Vernam Cipher method developed by Nath et al[10]. The authors have used TTJSA method for encryption purpose as it is already proved that TTJSA is very effective even if we have small pattern such as digital watermark or password etc. Moreover the cryptanalysis of TTJSA shows that the standard attack like differential attack or simple plain text attack will not be able to break the encryption method. So the main advantage of this method is that even if the hacker can extract the embedded data from a host file but they can not get back the original secret message. While embedding encrypted secret message we have used the standard LSB substitution method [2]. The present method may be used for hiding very confidential message or password or any private key from one machine to another machine or from one machine to server etc. For sending question papers normally the teachers are sending it through e-mail as normal plain text. Instead of that now they can encrypt it first using TTJSA method and hide the encrypted message in some popular image and send it to destination with full confidence like in between no one will be able to hack it. In defense or in Banking sector also the present method may be used for sending some crucial and important message. The present method may be used to hide any confidential message such as text, audio, image in any image or audio or video file.

Sayak Guha, Tamodeep Das, Saima Ghosh , Joyshree Nath, Sankar Das and Asoke Nath

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