Digital data ease the communication by reducing the cost, time, resources, labor etc. At the same time chance of attack is also increases as medium of communication is open to all and some time access as well. In order to increase the security of data various measures were adopt and proposed by researchers. This paper has also developed a model that provide security to digital image data b embedding it in other image. For selection of position of embedding work has adopt a clustering approach of data mining. Artificial immune genetic algorithm was adopted by the paper to cluster the embedding coefficient into two classes. As images have different pixel arrangement hence dynamic algorithm is highly desirable for selection of embedding position. Experiment was done on real image dataset and comparison of model was done on different evaluation parameters. Result shows that proposed model improved the PSN, SNR value of the image after embedding and extract information in different attack environment as well.

Digital Image, Image Processing Frequency Feature, Data Embedding, Genetic Algorithm