A SECURE AND VERIFIABLE ACCESS CONTROL SCHEME FOR BIG DATA STORAGE IN CLOUD

Abstract

With the rapid advancement of cloud computing technologies, a large volume of scholarly big data such as research
papers, experimental datasets, academic records, and researcher information is increasingly stored in cloud
environments. Although cloud storage offers scalability and flexibility, it also introduces serious concerns regarding
data security, privacy, and integrity. Unauthorized access, data leakage, and the absence of reliable verification
mechanisms pose significant challenges for protecting sensitive scholarly information. Existing cloud storage
solutions mainly emphasize storage efficiency but often lack secure data sharing and integrity verification capabilities.
Furthermore, performing efficient searches over encrypted data remains a difficult task using traditional encryption
methods. To address these challenges, this paper proposes a secure and verifiable access control scheme for scholarly
big data stored in cloud environments. The system adopts a user-differentiated model consisting of authors, editors,
and readers, each with specific access privileges. A trusted third party is employed for user authentication and secure
communication. Additionally, a cube-based data storage structure is implemented to organize data efficiently and
support secure keyword-based search. An integrity verification mechanism is also incorporated to ensure that stored
data remains unaltered. Experimental results demonstrate that the proposed system improves data security, access
efficiency, and reliability for scholarly big data management in cloud environ