Frog Leaping Genetic Algorithm for Cloud Text Document Retrieval

Collection of document on cloud storage need security and organized collection. Many of researcher work on both issues separately, so this paper has resolved it in single model. Paper has proposed a highly secured model that store encrypted data on cloud as per user. Encrypted data was clustered automatically by the cloud with and extra information. This encryption provide data privacy to the scholar at all level of work. Frog Leaping genetic algorithm was use for the clustering of the encrypted document files. Dynamic nature of frog food search algorithm help content clustering. User can search content by passing encrypted query on cloud and cloud generate relevant list of document file. User can decrypt file by having credential from data owner. Experiment was done on real document dataset of research document files form field of engineering. Results shows that proposed model increase the retrieval relevancy of document in secured environment.