REDUCTION OF DATA LEAKAGE IN DISTRIBUTED CLOUD STORAGE SYSTEMS USING DISTRIBUTED CLOUD GUARD (DCG)

Abstract

Cloud storage offers security, affordability, and global data access. Cloud storage is scalable, so organizations may simply add or delete storage. Cloud storage is convenient and safe. Dropbox, Google Drive, and Microsoft OneDrive allow cross-device data storage. Cloud storage providers (CSPs) also encrypt data. If data were dispersed across different CSPs, attackers would need to target numerous CSPs to retrieve the whole set. Hence, attackers struggle to obtain all the data. Email, cloud storage, and other methods can readily exchange data chunks without user consent. Data breaches can occur if security is inadequate. Because there are no access controls or insights into the data exchanged across clouds. Cyberattacks might disclose cloud data. Distributed Cloud Guard (DCG), a cloud security system, leverages advanced analytics to detect data flow irregularities like unlawful data exfiltration to solve this problem. We can then take immediate steps to prevent data leakage. Attackers would have to assault numerous clouds to access all semantically homogeneous data in the same cloud. DCG simplifies data leak detection and mitigation by centralizing data. This project uses Min-Hash and Bloom filter techniques to trademark data hunks for secure storage. Clustering lowers data leaks by distributing data hunks among clouds.