ISSN: 2265-6294

ENHANCING PERSONAL DATA SECURITY WITH A BLOCKCHAINBASED FRAMEWORK FEATURING FINE-GRAINED ACCESS CONTROL

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JANNU SRIKANTH, CHAITANYA THUPPARI, SRAVAN KUMAR NOOTHI

Abstract

Privacy protection and open sharing are important data organizations in the artificial intelligence (AI) stage. “The current solution is divided into a data management distribution platform and users upload their own data to the cloud server for storage and distribution. However, when users upload files to the server, they lose their personal data, and security and privacy become an important issue”. Data encryption and orchestration has almost solved this problem and has acquired new capabilities to protect private data on cloud servers. However, it still relies on the trust of third parties such as cloud service providers (CSPs).

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