Chaotic communication via temporal transfer entropy.
We propose a new perspective on communication using chaos. A binary message is encoded into the temporally causal relations on a coupled maps ring of N chaotic nodes. From the analysis of temporal transfer entropy, the masked information can be recovered from transmitted signals at the receiver. The communication scheme has been demonstrated to be robust against external noise and some traditional attacks.
Hung
Yao-Chen
YC
Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan.
Hu
Chin-Kun
CK
D003142:Communication; D019277:Entropy; D007257:Information Theory; D017711:Nonlinear Dynamics