Aiding Effective Encrypted Document Manipulation Incorporated with Document Categorization Technique in Cloud

Abstract

Cloud computing involves storage as well as usage of computer resources and services online. It has emerged as a promising area for data outsourcing. Since the users data are stored in servers controlled by cloud service provider there are always concerns about the security of the stored data. The data can be encrypted to ensure its security but it will increase the complexity of the data access process. The presence of large amount of data in the cloud necessitates an efficient method for data access. An efficient keyword based search on the encrypted cloud data is proposed here which provides marked improvement over the traditional boolean search approach used in cloud environment. It uses the latest informational retrieval methods for the processing of the documents from the cloud. The homomorphic encryption technique is used for the building of a secure index which has the key role in the search process. The vector space model is employed for the representation of the text document as vector. Document categorization technique is incorporated for the easy maintenance and retrieval of the data from the cloud. It handles multiple data owners and users with a facility to store and retrieve multiple data files. The approach also makes sure that the processing on the user side is minimized while updating the existing document set.