%0 Journal Article
%T New hybrid stream cipher based on chaos and neural networks<br>混沌映射和神经网络互扰的新型复合流密码
%A Chen Tie-Ming
%A Jiang Rong-Rong
%A <br>陈铁明
%A 蒋融融
%J 物理学报
%D 2013
%I 
%X 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.
%K chaos
%K neural networks
%K weight synchronization
%K random key stream<br>混沌映射
%K 神经网络
%K 权值同步
%K 随机密钥流
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=624C45FD0BDC9CE0F3ECE6E7C63B27E9&yid=FF7AA908D58E97FA&iid=E158A972A605785F&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=0