Abstract—In any communication, security is the most important issue in today’s world. Lots of data security and data hiding algorithms have been developed in the last decade, which worked as motivation for our research. In this paper, named “JPEG Compression Steganography & Cryptography using Image-Adaptation Technique”, we have designed a system that will allow an average user to securely transfer text messages by hiding them in a digital image file using the local characteristics within an image. This paper is a combination of steganography and encryption algorithms, which provides a strong backbone for its security. The proposed system not only hides large volume of data within an image, but also limits the perceivable distortion that might occur in an image while processing it. This software has an advantage over other information security software because the hidden text is in the form of images, which are not obvious text information carriers. The paper contains several challenges that make it interesting to develop. The central task is to research available steganography and encryption algorithms to pick the one the offer the best combination of strong encryption, usability and performance. The main advantage of this project is a simple, powerful and user-friendly GUI that plays a very large role in the success of the application.

Index Terms—Steganography, Cryptography, Compression, JPEG, DCT, Local Criteria, Image-Adaptation, Huffman coding, ET, SEC scheme

Cite: Meenu Kumari, A. Khare, and Pallavi Khare, "JPEG Compression Steganography & Crypography Using Image-Adaptation Technique," Journal of Advances in Information Technology, Vol. 1, No. 3, pp. 141-145, August, 2010.doi:10.4304/jait.1.3.141-145