The main aim of this project is to achieve secure data transfer and also absorbs permanent data deletion. In addition, the proposed scheme satisfies public certification without the need for a trusted third party. Here we build a new counting bloom filter-based scheme.
With the rapid development of cloud storage, an increasing number of data owners prefer to outsource their data to the cloud server, which can greatly reduce the local storage overhead. Because different cloud service providers offer distinct quality of data storage service, e.g., security, reliability, access speed and prices, cloud data transfer has become a fundamental requirement of the data owner to change the cloud service providers.
Hence, how to securely migrate the data from one cloud to another and permanently delete the transferred data from the original cloud becomes a primary concern of data owners. The proposed scheme not only can achieve secure data transfer but also can realize permanent data deletion. Additionally, the proposed scheme can satisfy the public verifiability without requiring any trusted third party.
Keywords: Cloud Storage, Data Deletion, Data Transfer, Counting Bloom Filter, Public Verifiability.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
HARDWARE SPECIFICATIONS:
SOFTWARE SPECIFICATIONS: