Journal of Computer Security
| Hi-index | 0.00 |
For improving data security, an information hiding algorithm based on RBF neural network and LSB is presented. The nonlinear mapping relation between input vector and original information is set up by RBF neural network. The data of RBF network is embed in cover image as secret information. The correlation data of original information is avoided being captured in transport process. With infinite kinds of ways to build the input vector, the algorithm cannot be deciphered theoretically. Thus the information is ensured to be absolutely safe. The simulation experiments prove the algorithm is feasible and effective.