SECURE DATA TRANSFER AND DELETION FROM COUNTING BLOOM FILTER IN CLOUD COMPUTING

Abstract

The "Secure Data Transfer and Deletion from Counting Bloom Filter in Cloud Computing" project introduces a novel solution to enhance the security and privacy of data operations within cloud environments. Leveraging Counting Bloom Filters as a fundamental data structure, the project focuses on secure data transfer and deletion processes. The proposed system employs advanced cryptographic techniques to ensure the confidentiality and integrity of data during transfer, mitigating the risks associated with unauthorized access. Additionally, the project introduces secure deletion mechanisms, addressing concerns related to data remnants in cloud storage. By integrating these security measures, the system not only protects sensitive information during transit but also provides users with a reliable and privacy-preserving method for removing data from Counting Bloom Filters. This project contributes to fortifying the security posture of cloud computing, fostering a balance between data utility and user privacy in an increasingly interconnected digital landscape.