Абстрактный

Data Hiding Scheme For Side Match Vector Quantization and Arnold Decoding

Gumma Prasad, V.Sathya Narayanan

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.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

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Академические ключи
ResearchBible
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
научный руководитель
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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