ABE and Bloom Filter Based Searchable Attribute-Based Encryption Scheme over Cloud Data

Abstract

Searchable Attribute based encryption is a promising technique that achieves flexible and fine-grained data access control over encrypted data, which is very suitable for a secure data sharing environment such as the currently popular cloud computing. However, Information Security has remained a primary concern and today when most of the sensitive data is stored on cloud with client organization having lesser control over the stored data, the fundamental way to fix this issue is to encrypt such data. So, a secure user imposed data access control system must be given, before the users outsource any data to the cloud for storage. Attribute Based Encryption (ABE) system is one such asymmetric key based cryptosystem that has received much attention that provides fine-grained access control to data stored on the cloud. In this paper, we propose a more proficient and richer type of Attribute Based Encryption technique that considers the Outsourced ABE construction and removes the burden of data owner to be always online. In multi keyword search; data owners and users can generate the keywords index and search trapdoor, respectively, without relying on always online trusted authority, also we are using bloom filter for de-duplication checking of file is performed before uploading any encrypted file at cloud server which reduces memory utilization at cloud server. Experimental results show that the performance of the proposed system is better than existing system in terms of security, data availability, time consumption and memory utilization.