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A secure and privacy-preserving approach to protect user data across cloud based online social networks
, U. Kumaran
Published in IGI Global
Volume: 12
Issue: 2
Pages: 1 - 24
The tremendous growth of social networking systems enables the active participation of a wide variety of users. This has led to an increased probability of security and privacy concerns. In order to solve the issue, the article defines a secure and privacy-preserving approach to protect user data across Cloud-based online social networks. The proposed approach models social networks as a directed graph, such that a user can share sensitive information with other users only if there exists a directed edge from one user to another. The connectivity between data users data is efficiently shared using an attribute-based encryption (ABE) with different data access levels. The proposed ABE technique makes use of a trapdoor function to re-encrypt the data without the use of proxy re-encryption techniques. Experimental evaluation states that the proposed approach provides comparatively better results than the existing techniques. Copyright © 2020, IGI Global.
About the journal
JournalInternational Journal of Grid and High Performance Computing
PublisherIGI Global