A structured system of embedded based on artificial intelligence by incorporating genetic algorithm
S. Anguraj, Karthigaiselvan Kumaresan · 2010
This paper provides on effective Shuffled Embedded Technique (SET) to eliminate the drawback of substitution technique. Using the genetic algorithm, message bits are embedded into multiple, vague (blurred) and higher LSB layer in order to increase robustness, which is achieved by embedding secret messages in digital audio stream. Additional careful considerations are taken against the premeditated and unpremeditated attacks by choosing the shuffle layers to hide secret data. Since genetic algorithm is a form of Artificial intelligence, a fitness function is defined over genetic representation and quality of the represented solution is measured effectively and efficiently. The main process of genetic algorithm involved are creation of a Random Initiate state, Fitness Evaluation, Reproduction, involving the process of mutation and cross over, and Next Generation. Finally, a decoding techniques is used as an input for the filtering technique to separate the original text message and the audio sequence.