These days the cloud storage has been used for many applications and the data owners upload their data to the cloud network so as to save storage and maintenance cost. Also they want the users of cloud to access their data in a secure way. The end users of the cloud can search and access the data and files from within the cloud using search keywords. The cloud should match the data with the searched keywords and provide with efficient search result. In most existing search methods only the single data owner model has been used. But the multi-owner model has not been efficient in many cases since each owner will use different private keys to encrypt their data and their keywords. So the cloud should handle this multiple keyword encryption when trying to make the search. In this project a multi-keyword rank based search model is proposed that used multiple data owners. The proposed approach also concentrates on the security of the data of the data owners and also tries to prevent unauthorized access during the search process. Initially an authentication mechanism is done to authorize valid users for the search. The end users provide their authentication data for this purpose and different key is used for each time. Finally after authentication the end user will generate a trapdoor that contains the list of all keywords for the search and sends that to the cloud. The cloud processes these keywords and identifies relevant data or files and ranks them based on a relevant score. Finally the result is displayed to the user with ranked search.