• V PAVAN KUMAR
• Dr C PRAKASA RAO

Abstract : Because of the rapid development of cloud storage, an increasing number of data owners opt to outsource their data to a cloud server, which can significantly lower the local storage overhead. Because different cloud service providers provide varying levels of data storage quality, such as security, dependability, access speed, and pricing, cloud data transfer has become a key requirement for data owners when switching cloud service providers. As a result, how to securely migrate data from one cloud to another and completely remove transferred data from the original cloud becomes a top priority for data owners. In this research, a new counting Bloom filter-based technique is developed to overcome this problem. The suggested plan can realise permanent data deletion in addition to secure data transport. Furthermore, the suggested approach can satisfy public verifiability requirements without the need for a reliable third party. Finally, create a simulation implementation to show how effective and useful the recommendation is.

Cloud storage, Data deletion, Data transfer, Counting Bloom filter, Public verifiability.

"SECURE DATA TRANSFER AND DELETION FROM CLOUD COMPUTING'S BY USING COUNTING BLOOM FILTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.a598-a604, May-2023, Available :http://www.jetir.org/papers/JETIR2305084.pdf

"SECURE DATA TRANSFER AND DELETION FROM CLOUD COMPUTING'S BY USING COUNTING BLOOM FILTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppa598-a604, May-2023, Available at : http://www.jetir.org/papers/JETIR2305084.pdf