Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411153 | Neurocomputing | 2009 | 6 Pages |
Abstract
In this paper, the neural network composed of a chaotic neuron layer and a linear neuron layer is used to construct a block cipher that transforms the data from the plaintext form into the unintelligible form under the control of the key. Among them, the chaotic neuron layer realizes data diffusion, the linear neuron layer realizes data confusion, and the two layers are repeated for several times to strengthen the cipher. The decryption process is symmetric to the encryption process. Theoretical analysis and experimental results show that the block cipher has good computing security and is more suitable for image encryption. It is expected to attract more researchers in this field.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shiguo Lian,