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A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: A. Tariq, A. Fadil, Shahrul Nizam, Yaakob, R. Badlishah, Ahmad, Prof. Madya Dr., Abid, Yahya, Dr.
Other Authors: eng_tariq_adnan@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Chaos
Neural network
Video compression
Video encryption
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20557
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spelling my.unimap-205572012-08-01T07:42:35Z A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal A. Tariq, A. Fadil Shahrul Nizam, Yaakob R. Badlishah, Ahmad, Prof. Madya Dr. Abid, Yahya, Dr. eng_tariq_adnan@yahoo.com Chaos Neural network Video compression Video encryption International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. In this paper, a cipher system based on Chaotic Neural Network (CNN) is used to encrypt and construct a stream cipher of compressed MPEG-2 video signal. The symmetric CNN cipher algorithm transforms the plaintext (compressed video data) into an unclear form under the control of key; this algorithm has high security and simple architecture with low cost hardware implementation. However, when the size of input layer of the neural network is increased, the required execution time for encryption and decryption process will be decreased. Two main contributions points are discussed in this paper. The first one is related to chaos properties and its effect on CNN cipher algorithm. Results show that a very small key modification in the receiver side will lead to an unintelligible video scene with low PSNR value of -18.363 dB. The second contribution point is related to the bit rate control and video quality of the whole system model. It can also be shown from results that by increasing video quality value then the PSNR and compressed bit rate values will increase, but with penalty vale of compression ratio. The whole system model can control the bit rate and video quality depending on communication channel conditions. The proposed system model is suitable for secure video transmission applications and wireless multimedia communication. 2012-08-01T07:42:35Z 2012-08-01T07:42:35Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20557 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) Pusat Pengajian Kejuruteraan Mekatronik
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Chaos
Neural network
Video compression
Video encryption
spellingShingle Chaos
Neural network
Video compression
Video encryption
A. Tariq, A. Fadil
Shahrul Nizam, Yaakob
R. Badlishah, Ahmad, Prof. Madya Dr.
Abid, Yahya, Dr.
A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 eng_tariq_adnan@yahoo.com
author_facet eng_tariq_adnan@yahoo.com
A. Tariq, A. Fadil
Shahrul Nizam, Yaakob
R. Badlishah, Ahmad, Prof. Madya Dr.
Abid, Yahya, Dr.
format Working Paper
author A. Tariq, A. Fadil
Shahrul Nizam, Yaakob
R. Badlishah, Ahmad, Prof. Madya Dr.
Abid, Yahya, Dr.
author_sort A. Tariq, A. Fadil
title A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
title_short A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
title_full A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
title_fullStr A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
title_full_unstemmed A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
title_sort chaotic neural network based encryption algorithm for mpeg-2 encoded video signal
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20557
_version_ 1643793112695308288
score 13.222552

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