Publication Type : Journal Article
Publisher : International Journal of Grid and High Performance Computing, ESCI journal (Accepted) .
Source : International Journal of Grid and High Performance Computing, ESCI journal (Accepted), 2018.
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Verified : No
Year : 2018
Abstract : 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.
Cite this Research Publication : Kumaran U. and Neelu Khare, “A Secure and Privacy Preserving Approach to Protect User Data Across Cloud Based Online Social Networks”, International Journal of Grid and High Performance Computing, ESCI journal (Accepted), 2018.