Chaotic neural network based mpeg-2 video encryption framework over wireless channel /

In this thesis, chaos theory property is combined with artificial neural network to construct a cipher cryptography algorithn called a Chaotic Neural Network (CNN). The proposed system model framework is develop and modelled by embedding CNN inside video codec model to produce a secure and a compres...

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Glavni avtor: Tariq Adnan Fadil (Author)
Korporativna značnica: Universiti Malaysia Perlis
Format: Thesis Software eKnjiga
Jezik:English
Izdano: Perlis, Malaysia School of Computer and Communication Engineering, Universiti Malaysia Perlis 2014
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Opis
Izvleček:In this thesis, chaos theory property is combined with artificial neural network to construct a cipher cryptography algorithn called a Chaotic Neural Network (CNN). The proposed system model framework is develop and modelled by embedding CNN inside video codec model to produce a secure and a compress bitstream. The proposed video coded model is designed and implemented based on MPEG-2 standard.
Fizični opis:1 computer disc illustrations 12 cm
Bibliografija:Includes bibliographical references.