Data Hiding Scheme For Side Match Vector Quantization and Arnold Decoding

نویسندگان

  • Gumma Prasad
  • V.Sathya Narayanan
چکیده

In any communication, security is the most important issue in today’s world. Security and data hiding algorithms have been developed, which worked as motivation for the research. This project is a data hiding by using side match vector quantization algorithm may used for data hiding scheme, which provides a strong backbone for its security. The scenario of present day of information security system includes privacy, genuineness, honesty, non-repudiation. This present work focus is hiding for data technique to secure data or message with authenticity and truthfulness. In this project work, the secret message is encrypted before the actual embedding process starts. The entire work has done in MATLAB. The hidden message is encrypted using a simple encryption algorithm using secret key for SMVQ and hence it will be almost unfeasible for the impostor to unhide the actual secret dispatch from the embedded cover file without knowing furtive key. Only receiver and sender know the secret key. SMVQ substitution technique is used as embedding and extraction method. We propose that this method could be most appropriate for hiding any secret message (text, image, audio, and video) in any standard cover media such as image, audio, video files.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Review Paper on Joint Data Hiding and Compression Scheme based on SMVQ and Image Inpainting

Data hiding is mainly used to hide the secret data into a cover data like a video file, an audio file, an image, etc. It is popularly used in medical and military applications. Nowadays reversible data hiding is the latest research area in the field of secret data hiding techniques. This paper covers many hiding and compression techniques like vector quantization (VQ), side match vector quantiz...

متن کامل

Adaptive Data Hiding Based on SMVQ Prediction

An adaptive data hiding scheme capable of hiding considerable quantities of secret data while preserving acceptable visual quality for cover images is proposed. The major idea of this scheme is to hide secret data into the compressed codes of cover image during the encoding process of side-match vector quantization (SMVQ) such that the interceptors will not capture the secret information. Based...

متن کامل

Integrated Data Hiding and Lossless Image Compression based on SMVQ and Image Inpainting

Today Reversible data hiding (RDH) is latest research area in field of data concealment scheme. In RDH, the data to be cover up is embedded in the cover image and at the origin side both conceal secret and cover image is reconstructed without any misrepresentation. In this paper we represent a RDH technique based on side match vector quantization for images. Two function data hiding and image c...

متن کامل

A Survey on Joint Data-Hiding and Compression Techniques based on SMVQ and Improved Locally Adaptive Coding Method

Today Reversible data hiding is latest research area in the field of secret data hiding technique. Data hiding is a technique in which conceal secret data is hidden in some cover image like video, audio, movie, file, and image. Data hiding popularly used in medical and military application. This paper covers many hiding and compression techniques like vector quantization (VQ), side match vector...

متن کامل

A Survey on Data Hiding and Compression Schemes

Data hiding has a vital role to play in information security. Using a data hiding technique, secret information is hidden into cover digital content. Compression techniques and data hiding techniques received much less attention from the research community and from industry than cryptography. In past research many data hiding and image compression techniques has been developed, it works indepen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014