摘要：Security is important in cloud data storage while using the cloud services
provided by the service provider in the cloud. Most of the research works have been
designed for a secure cloud data storage. However, cloud users still have security
issues with their outsourced data. In order to overcome such limitations, a Dynamic
Bloom Filter Hashing based Cloud Data Storage (DBFH-CDS) Technique is
proposed. The main goal of DBFH-CDS Technique is to improve confidentiality and
security of data storage in a cloud environment. The proposed Technique is
implemented using data fragmentation model and Bloom filter. The DBFH-CDS
Technique uses data fragmentation model for fragmenting the large cloud datasets.
After that, Bloom Filter is employed in DBFH-CDS Technique for storing the
fragmented sensitive data along with higher security. The DBFH-CDS Technique
ensures high data confidentiality and security for cloud data storage with the help of
Bloom Filter. The performance of proposed DBFH-CDS Technique is measured in
terms of Execution time and Data retrieval efficiency. The experimental results show
that the DBFH-CDS Technique is able to improve the cloud data storage security
with minimum space complexity as compared to state-of-the-art-works.
