Secure Data Transfer and Deletion Using Counting Bloom Filter (CBF) in Cloud Computing

Abstract

-Memory is the basic requirement to store the data which is why data owners prefer to outsource their data to cloud service providers, as this helps in minimizing the efforts involved in maintaining large systems locally. At the same time, Cloud Storage Platforms are being rapidly developed by offering different quality data storage services like Security, Reliability, Accessibility, Speed, Budget-friendly etc. due to which cloud to cloud data transfer has become a strong necessity for data owners to change from one cloud service platform to the other. Therefore, Migration of data from one cloud to the other and the permanent deletion of migrated data should be done in the most secure way. Because, Security is the most challenging requirement in cloud computing. This abstract explains how to solve the above problem of transferring the data from one cloud to the other and to delete the data in source cloud permanently in most secure way. To solve this problem, we construct a new counting bloom filter-based scheme. The counting bloom filter-based scheme can achieve secure data transfer and also can efficiently work on deletion of data permanently. Also, the proposed scheme satisfies the public verifiability without requirement of any trusted third-party applications. Finally, we develop a simulated implementation which demonstrates the practicality and efficiency of our proposal.