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|Title: ||A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal|
|Authors: ||A. Tariq, A. Fadil|
Shahrul Nizam, Yaakob
R. Badlishah, Ahmad, Prof. Madya Dr.
Abid, Yahya, Dr.
|Keywords: ||Chaos;Neural network;Video compression;Video encryption|
|Issue Date: ||27-Feb-2012|
|Publisher: ||Universiti Malaysia Perlis (UniMAP)|
|???metadata.dc.publisher.department???: ||Pusat Pengajian Kejuruteraan Mekatronik|
|Series/Report no.: ||Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)|
|Abstract: ||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.|
|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.|
|Appears in Collections:||Conference Papers|
R. Badlishah Ahmad, Prof. Dr.
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