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New hybrid stream cipher based on chaos and neural networks

Chen Tie-Ming Jiang Rong-Rong

New hybrid stream cipher based on chaos and neural networks

Chen Tie-Ming, Jiang Rong-Rong
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  • Abstract views:  1324
  • PDF Downloads:  892
  • Cited By: 0
Publishing process
  • Received Date:  31 March 2012
  • Accepted Date:  28 September 2012
  • Published Online:  05 February 2013

New hybrid stream cipher based on chaos and neural networks

  • 1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;
  • 2. College of Information and Engineering, Zhejiang Radio and TV University, Hangzhou 310013, China
Fund Project:  Project supported by the National Basic Research Program of China (Grant No. 2010CB328106-3), the National Natural Science Foundation of China (Grant No. 61103044), the National High Technology Research and Development Program of China (Grant No. 2009AA043303), the Zhejiang Natural Science Foundation of China (Grant No. Y1110567), the Zhejiang Science and Technology Research Program of China (Grant Nos. 2010C31126, 2011C21046), and the Open Fund of the State Key Laboratory of Software Development and Environment, China (Grant No. SKLSDE-2011KF-07).

Abstract: A hybrid stream cipher scheme is proposed based on the novel interacting neural networks and the multiple chaotic systems. At first, random sequences generated by 3 independent logistics functions respectively are taken as dynamic inputs to 3 hidden layers of the interacting neural networks model. Then two inner weights of the two structures of neural networks will be synchronized through some steps of interacting learning, and the random key stream can be finally identified by combining the random sequence extracted from the aforementioned synchronized weight and 3 Logistics sequences. The comparison shows that the generated key stream performs the better randomness than others. As a good example, the proposed novel chaos-based stream cipher works perfectly on digital image encryption.

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